Fake Photo? Manipulated Video? How to Spot Sham AI
This to preserve the credibility of digital media and safeguard users from falling victim to scams. As synthetic media becomes more sophisticated, identifying AI-generated manipulations presents a unique challenge, but numerous free apps and toolsare readily available allowing users to validate photo and video authenticity with ease—a major step forward in safeguarding trust in a world increasingly influenced by AI-generated visuals, ensuring transparency and security in the digital age. More below.
How AI Drives Misinformation
Amid the onslaught of highly concerning news headlines spotlighting how deepfake AI-generated photo and video scams are driving rampant misinformation and wreaking havoc across digital, cultural, workplace, political and other societal frameworks, solutions are emerging combat AI-driven misinformation and fraud before people fall victim to scams.
One AI disruptor transforming the fight against AI fraud is BitMind—an AI deepfake detection authority that offers a suite of free apps and tools that instantly identify and flag AI-generated images before you fall victim.
Built by AI Engineers
Built by a team of AI engineers hailing from leading tech companies like Amazon, Poshmark, NEAR, and Ledgersafe, BitMind’s instant detection of deepfakes helps uphold the credibility of the media, guaranteeing the authenticity of the information we use. A strong deepfake detection enhances digital interactions, supports better decision making and strengthens the integrity of the modern digital world—serving to protect reputations, shield finances and maintain trust for celebrities, politicians, public figures … and everyone else.
For both B2C and B2B use, these 5 BitMind tools are free and accessible to anyone:
AI Detector App: A simple web page where users can drag-and-drop suspicious images for fast deepfake detection results;
Chrome Extension: Flags AI-created content in real-time, while browsing.
X Bot: Verifies if images on X/Twitter are real or AI-generated;
Discord Bot: Verifies if images are real or AI-generated via its Discord Integration;
AI or Not Game: Fun Telegram bot that tests your ability to distinguish between AI-generated and human-created images.
“Recognizing the need to integrate deepfake detection into everyday technology use, our applications fit seamlessly into users’ lives,” notes Ken Miyachi, BitMind CEO. “For example, the BitMind Detection App is a user-friendly application that allows individuals to upload images and quickly assess the likelihood of them being real or synthetic. Additionally, the Browser Extension enhances online security by analyzing images on web pages in real time and providing immediate feedback on their authenticity through our subnet validators. These tools are designed to empower users, enabling them to navigate digital spaces with confidence and security.”
As the world’s first decentralized Deepfake Detection System, BitMind is an open-source technology that enables developers to easily integrate the technology into their existing platforms to provide accurate real-time detection of deepfakes.
“Deepfake technology has emerged as both a marvel and a menace,” continued Miyachi. “With the capacity to create synthetic media that closely mimics reality, deepfakes present unprecedented challenges in privacy, security, and information integrity. Responding to these challenges, we introduced the BitMind Subnet, a breakthrough on the Bittensor network, dedicated to the detection and mitigation of deepfakes.”
According to Miyachi, here are key reasons why BitMind technology is a game changer:
The BitMind Subnet, which represents a pivotal advancement in the fight against AI-generated misinformation. Operating on a decentralized AI platform, this deepfake detection system employs sophisticated AI models to accurately distinguish between real and manipulated content. This not only enhances the security of digital media but also preserves the essential trust in digital interactions.
The BitMind Subnet is equipped with advanced detection algorithms that utilize both generative and discriminative AI technologies to provide a robust mechanism for identifying deepfakes.
BitMind employs cutting-edge techniques, including Neighborhood Pixel Relationships, ensuring competitive accuracy in detection. The operation of the subnet is decentralized, with miners across the network running binary classifiers. This setup ensures that the detection processes are widespread and not confined to any centralized repository, enhancing both the reliability and integrity of the detection results.
Community collaboration is a cornerstone of the BitMind Subnet, actively encouraging the community to contribute to our evolving codebase, and by engaging with developers and researchers, the subnet is continuously improved and updated with the latest advancements in AI.
BitMind combines its extensive industry expertise, cutting-edge academic research, and a deep passion for technology. The team has a proven track record in AI, blockchain, and systems architecture, successfully leading tech projects and founding innovative companies.
What truly sets BitMind apart is their commitment to creating a safer, more transparent digital world where AI benefits humanity, driven by their passion for innovation, security and community engagement. Their technologies are expressly designed to safeguard the integrity of digital media and foster a trustworthy digital ecosystem.
In the modern world full of fake news and increasing cyber threats, BitMind’s innovations are paving the way for a future in which digital trust is not an option, but a necessity. As the threats increase, the global community must be equipped with the means to ingest digital information in a reliable and authentic in order to realize AI’s true potential safely and efficiently. For the Silo, Marsha Zorn.
Ottawa’s forthcoming AI strategy needs to walk a tightrope between two equally important principles: safeguarding Canadians from possible misuses of AI but also giving our private and academic sectors the leeway to use Canada’s AI strengths to develop and commercialize new technologies and products.
Planned AI adoption rose sharply between Q3 2024 and Q3 2025, but progress remains highly uneven across industries. Knowledge-intensive sectors – such as information and cultural industries, finance and insurance, and healthcare – show the strongest gains, while several goods-producing and operational sectors, including manufacturing, wholesale trade, and mining, show stagnant or declining expectations.
The federal government must clearly define a framework for responsible, widespread AI innovation – one that encourages beneficial development and adoption while setting firm expectations about the harms innovators must avoid.
Canada’s competition reforms must keep pace with data-driven business models by empowering authorities with modern tools to detect, assess, and stop conduct that genuinely harms competition, innovation, or consumers.
The explosive growth of online shopping is reshaping Canadian retail by empowering consumers with unprecedented choice, driving omnichannel innovation, and intensifying competition.
Next year, the United States will host the world’s 20 largest economies for the first time since 2009. Coinciding with America’s 250th anniversary, the 2026 G20 will be a chance to recognize the values of innovation, entrepreneurship, and perseverance that made America great, and which provide a roadmap to prosperity for the entire world. We’ll showcase these values and more when we host the G20 Leaders’ Summit in December 2026 in one of America’s greatest cities, Miami, Florida.
Under President Trump’s leadership, the G20 will use four working groups to achieve progress on three key themes: removing regulatory burdens, unlocking affordable and secure energy supply chains, and pioneering new technologies and innovation. The first Sherpa and Finance Track meetings will be held in Washington, DC, on December 15-16, followed by a series of meetings throughout 2026. As the global economy confronts the changes driven by technologies such as Artificial Intelligence, and shakes off ideological preoccupations around green energy, the President is prepared to lead the way.
We will be inviting friends, neighbors, and partners to the American G20. We will welcome the world’s largest economies, as well as burgeoning partners and allies, to America’s table. In particular, Poland, a nation that was once trapped behind the Iron Curtain but now ranks among the world’s 20 largest economies, will be joining us to assume its rightful place in the G20. Poland’s success is proof that a focus on the future is a better path than one on grievances. It shows how partnership with the United States and American companies can promote mutual prosperity and growth.
The contrast with South Africa, host of this year’s G20, is stark.
South Africa entered the post-Cold War era with strong institutions, excellent infrastructure, and global goodwill. It possessed many of the world’s most valuable resources, some of the best agricultural land on the planet, and was located around one of the world’s key trading routes. And in Nelson Mandela, South Africa had a leader who understood that reconciliation and private sector driven economic growth were the only path to a nation where every citizen could prosper.
Sadly, Mandela’s successors have replaced reconciliation with redistributionist policies that discouraged investment and drove South Africa’s most talented citizens abroad. Racial quotas have crippled the private sector, while corruption bankrupts the state.
The numbers speak for themselves. As South Africa’s economy has stagnated under its burdensome regulatory regime driven by racial grievance, and it falls firmly outside the group of the 20 largest industrialized economies.
Rather than take responsibility for its failings, the radical ANC-led South African government has sought to scapegoat its own citizens and the United States. As President Trump has rightly highlighted, the South African government’s appetite for racism and tolerance for violence against its Afrikaner citizens have become embedded as core domestic policies. It seems intent on enriching itself while the country’s economy limps along, all while South Africans are subject to violence, discrimination, and land confiscation without compensation. Its former Ambassador to the United States was openly hostile to America. Its relationships with Iran, its entertainment of Hamas sympathizers, and cozying to America’s greatest adversaries move it from the family of nations we once called close.
The politics of grievance carried over to South Africa’s Presidency of the G20 this month, which was an exercise in spite, division, and radical agendas that have nothing to do with economic growth. South Africa focused on climate change, diversity and inclusion, and aid dependency as central tenets of its working groups. It routinely ignored U.S. objections to consensus communiques and statements. It blocked the U.S. and other countries’ inputs into negotiations. It actively ignored our reasonable faith efforts to negotiate. It doxed U.S. officials working on these negotiations. It fundamentally tarnished the G20’s reputation.
For these reasons, President Trump and the United States will not be extending an invitation to the South African government to participate in the G20 during our presidency. There is a place for good faith disagreement, but not dishonesty or sabotage.
The United States supports the people of South Africa, but not its radical ANC-led government, and will not tolerate its continued behavior. When South Africa decides it has made the tough decisions needed to fix its broken system and is ready to rejoin the family of prosperous and free nations, the United States will have a seat for it at our table. Until then, America will be forging ahead with a new G20.
Marco Rubio was sworn in as the 72nd secretary of state on January 21, 2025. The secretary is creating a Department of State that puts America First.
AI is fundamentally redefining leadership by providing new tools, frameworks, and systems that allow leaders not just to manage complexity, but to see, challenge, and reshape their organizations in ways never before possible. The competitive mandate for leaders is clear: harness AI not merely for efficiency, but as an engine for deeper self-awareness, structured dissent, and proactive sensing that unlocks true organizational agility and resilience.
Strategic Frameworks for Next-Gen AI Leadership
Forward-thinking leaders are moving beyond pilot projects and isolated automation to experiment with new, holistic approaches—many inspired by concepts like the Leadership Mirror, Red-Team Loop, and Organization Pulse Monitor. These paradigms operationalize AI in ways that directly address the perennial blind spots, biases, and inertia that often undermine executive decision-making.
George Yang- helping organizations and executives embrace AI.
The Leadership Mirror: Cultivating Radical Self-Awareness
The Leadership Mirror uses AI to continuously analyze leadership communication, decision rationale, and team interactions, surfacing insights that are often overlooked or difficult for humans to acknowledge. For example, Microsoft has begun leveraging AI tools to track who dominates meetings, which voices get systematically dismissed, and when evidence is overridden by intuition—creating dashboards that encourage leaders to confront uncomfortable patterns.
This approach helps leaders challenge their own narrative, improve inclusiveness, and drive more thoughtful debate.
With AI’s ability to process language in real time, leaders can receive feedback loops and “reflections” that support a culture of deliberate, transparent leadership.
The Leadership Mirror is also a vehicle for mitigating the “competence penalty,” where women and older workers face skepticism for using AI—even when it enhances productivity. By surfacing evidence of expertise and impact, it reduces bias and builds psychological safety.
There are different types of AI including less sophisticated models such as Generative AI. To decide whether to use generative artificial intelligence for a task, ask yourself whether it matters if the output is true and you have the expertise to verify the tool’s output. (Adapted from Aleksandr Tiulkanov‘s LinkedIn post)
The Red-Team Loop: Embedding Structured Dissent
To counter groupthink and executive overconfidence, Red-Team Loop systems employ AI to automate adversarial reviews of strategy and operational decisions. Verizon, for instance, uses an AI framework that captures assumptions, risks, and anticipated outcomes for major decisions, then generates simulated critiques and alternative scenarios—sometimes challenging senior executives on blind spots they themselves hadn’t recognized.
By proactively “red-teaming” their own decisions, leaders foster a culture where dissent is routine, rational, and data-driven—not ad hoc or punitive.
The approach is especially valuable in M&A, crisis management, and product launches, where high-stakes, high-ambiguity decisions benefit from rigorous challenge.
Leading boards now expect Red-Team Loops as part of their fiduciary duty, recognizing that the cost of missed risks is measured not just in dollars, but reputation and long-term viability.
Organization Pulse Monitor: Proactive Sensing for Culture and Risk
The Organization Pulse Monitor uses AI to detect weak signals in organization culture, ethical risk, and operational friction long before traditional metrics or surveys would register them. Some organizations have begun linking AI-powered sentiment analysis of internal communications, workflow behaviors, and network interactions to predict where a culture may be straining, where compliance risks are emerging, or where silent dissent is brewing.
When Pulse Monitors flagged drops in engagement and early warning signs of burnout, one multinational fast-tracked well-being interventions, pre-empting attrition.
AI-driven pulse scans also help surface ethical risks—such as exclusionary behaviors or data privacy concerns—enabling leaders to respond immediately, not months later.
Actionable Strategies: Bringing AI Experiments to Leadership
How can senior leaders experiment and innovate with these systems while maximizing value and minimizing risk?
Map Adoption Hotspots and Blind Spots: Use mirror and pulse data to identify where AI is catalyzing positive behaviors—and where competence penalties or shadow AI usage may be undermining equity or performance. Target interventions accordingly.
Mobilize Role Model Leaders: Encourage respected senior leaders, particularly those from underrepresented demographics, to visibly experiment with and champion AI tools. Research shows that when these role models use AI openly, adoption gaps shrink, and psychological safety rises.
Redesign Evaluation and Disclosure Policies: Shift performance metrics from subjective ratings of proficiency to objective impact, cycle time, accuracy, and innovation. Blind reviews and private feedback mechanisms can reduce bias against AI users and drive fairer rewards.
Embed Structured Red-Teaming in Decision Flows: Institutionalize adversarial testing of key decisions, making AI-enabled dissent a standard step—not a threat or afterthought. Leaders should receive regular “contrarian” insights, not just consensus-building reports.
Common Pitfalls and Human Impact
Despite rising investment, less than one-third of US employers believe staff are equipped for critical thinking in the AI era, and only 16% of American workers use AI on the job despite widespread availability. The main barriers are not just technical, but social: competence penalties, fear of reputation loss, and resistance among influential skeptics.
Competence Penalty: AI users, especially women and older employees, may face a perception of diminished competence. This undermines adoption and can exacerbate workplace inequality.
Shadow AI and Hidden Risks: Employees sometimes use unauthorized tools to bypass bias, exposing the organization to compliance, reputational, and security risk.
Skill Gaps vs. Work Context: Traditional training falls short without tailored, role-specific feedback loops—AI tutors offer scalable, personal learning but must be embedded in daily workflow, not delivered in isolation.
Governance, Ethics, and Sustainable Change
Human-centered leadership isn’t optional—it’s a strategic imperative. Boards and executives must be proactive in:
Instituting transparent governance for all AI systems (mirrors, loops, monitors), with clear oversight on privacy, fairness, and impact.
Ensuring structured role-modeling and psychological safety—particularly for vulnerable groups confronting competence penalties.
Making change management a continuous process, with AI as both coach and sentinel, not just a dashboard.
The call to action for C-suite leaders is urgent and profound: treat responsible, experimental, and self-critical AI adoption as the core discipline of next-generation leadership. Not just for efficiency, but for building organizations where insight, challenge, and well-being are sustainably enabled. Those who master the trifecta of mirror, loop, and pulse will set the new standard for profitable, human-centered growth in the age of AI.
More about:
George Yang is a Toronto-based digital innovator and AI adoption strategist with over 15 years of experience in marketing and digital transformation. As Chair of the AI Working Group at the National Payroll Institute, he helps organizations translate AI strategy into measurable business outcomes. George is passionate about making AI adoption ethical, practical, and impactful, bridging the gap between innovation and implementation across industries. georgeyang.ca
“Pay attention students, write this down for memorization.” The Trivium and Quadrivium, medieval revival of classical Greek education theories, defined the seven liberal arts necessary as preparation for entering higher education: grammar, logic, rhetoric, astronomy, geometry, arithmetic, and music. Even today, the education disciplines identified since Greek times are still reflected in many education systems. Numerous disciplines and branches have since emerged, ranging from history to computer science…
Now comes the Information Age, bringing with it Big Data, cloud computing, artificial intelligence as well as visualization techniques that facilitate the learning of knowledge.
All this technology dramatically increased the amount of knowledge we could access and the speed at which we could generate answers to our questions.
“New and more innovative knowledge maps are now needed to help us navigate the complexities of our expanding landscape of knowledge,” says Charles Fadel. Fadel is the founder of the Center for Curriculum Redesign, which has been producing new knowledge maps that redesign knowledge standards from the ground up. “Understanding the interrelatedness of knowledge areas will help to uncover a logical and effective progression for learning that achieves deep understanding.”
Joining us in The Global Search for Education to talk about what students should learn in the age of AI is Charles Fadel, author of Four-Dimensional Education: The Competencies Learners Need to Succeed.
“We need to identify the Essential Content and Core Concepts for each discipline – that’s what the curation effort must achieve so as to leave time and space for deepening the disciplines’ understanding and developing competencies.” — Charles Fadel
Charles, today students have the ability to look up anything. Technology that enables them to do this is also improving all the time. If I want to solve a math problem, I use my calculator, and if I want to write a report on the global effects of climate change, I pull out my mobile. How much of the data kids are being forced to memorize in school is now a waste of time?
The Greeks bemoaned the invention of the alphabet because people did not have to memorize the Iliad anymore. Anthropologists tell us that memorization is far more trained in populations that are illiterate or do not have access to books. So needing to memorize even less in an age of Search is a natural evolution.
However, there are also valid reasons for why some carefully curated content will always be necessary.
Firstly, Automaticity. It would be implausible for anyone to constantly look up words or simple multiplications – it just takes too long and breaks the thought process, very inefficiently. Secondly, Learning Progressions. A number of disciplines need a gradual progression towards expertise, and again, one cannot constantly look things up, this would be completely unworkable. Finally, Competencies (Skills, Character, Meta-Learning). Those cannot be developed in thin air as they need a base of (modernized, curated) knowledge to leverage.
Sometimes people will say “Google knows everything” or “ask AI” and it is striking, but the reality is that for now, Google stores everything. Of course, with AI, what is emerging now is the ability to analyze a large number of specific problems and make predictions, so eventually, Google and similar companies will know a lot more than humans can about themselves!
Closeup of mobile phone with language learning application in jeans pocket. focus on screen
“What we need to test for is Transfer – the ability to use something we have learned in a completely different context. This has always been the goal of an Education, but now algorithms will allow us to focus on that goal even more, by ‘flipping the curriculum’.” — Charles Fadel
If Child A has memorized the data in her head while Child B has to look up the answers, some might argue that Child A is smarter than Child B. I would argue that AI has leveled the playing field for Child A and Child B, particularly if Child B is digitally literate, creative and passionate about learning. What are your thoughts?
First, let’s not conflate memory with intelligence, which games like Jeopardy implicitly do. The fact that Child A memorized data does not mean they are “smarter” than Child B, even though memory implies a modicum of intelligence. Second, even Child B will need some level of content knowledge to be creative, etc. Again, this is not developed in thin air, per the conversation above.
So it is a false dichotomy to talk about Knowledge or Competencies (Skills/Character/Meta-learning), it has to be Knowledge (modernized, curated) and Competencies. We’d want children to both Know and Do, with creativity and curiosity.
Lastly, we need to identify the Essential Content and Core Concepts for each discipline – that’s what the curation effort must achieve so as to leave time and space for deepening the disciplines’ understanding and developing competencies.
Given the impact of AI today and the advancements we expect each year, when should (all) school districts introduce open laptop examinations to allow students equal access to information and place emphasis on their thinkingskills?
The question has more to do with Search algorithms than with AI, but regardless, real-life is open-book, and so should exams be alike. And yes, this will force students to actually understand their materials, provided the tests do more than multiple-choice trivialities, which by the way we find even at college levels for the sake of ease of grading.
What we need to test for is Transfer – the ability to use something we have learned in a completely different context. This has always been the goal of an Education, but now algorithms (search, AI) will allow us to focus on that goal even more, by “flipping the curriculum”.
Today, if a learner wants to do a deep dive into any specific subject, AI search allows them to do this outside of classroom time. What do you say to a history teacher who argues there’s no need to revise subject content in his classroom?
For all disciplines, not just History, we must strike the careful balance between “just-in-time, in context” vs “just-in-case”. Context matters to anchor the learning: in other words, real-world projects give immediate relevance for the learning, which helps it to be absorbed. And yet projects can also be time-inefficient, so a healthy balance of didactic methods like lectures are still necessary. McKinsey has recently shown that today that ratio is about 25% projects, which should grow a bit more over time as education systems embed them better, with better teacher training.
Second, it should be perfectly fine for any student to do deep dives as they see fit, but again in balance: there are other competencies needed to becoming a more complete individual, and if one is ahead of the curve in a specific topic, it is of course very tempting to follow one’s passion. And at the same time, it is important to make sure that other competencies get developed too. So, balance and a discriminating mind matter.
Employers consider ethics, leadership, resilience, curiosity,mindfulness and courage as being of “very high” importance to preparing students for the workplace. How does your curriculum satisfy employers’ demands today and in the years ahead?
These Character qualities are essential for employers and life needs alike, and they have converged away from the false dichotomy of “employability or psycho-social needs.” A modern curriculum ensures that these qualities are developed deliberately, systematically, comprehensively, and demonstrably. This is achieved by matrixing them with the Knowledge dimension, meaning teaching Resilience via Mathematics, Mindfulness via History, etc. Employers have a mixed view and success as to how to assess these qualities, so it is a bit unfair that they would demand specificity they do not have. And it is also unfitting of school systems to lose relevance.
people, education, technology and exam concept – close up of students with smartphones taking picture of books page and making cheat sheet in school library
“Educators have been tone-deaf to the needs of employers and society to educate broad and deep individuals, not merely ones that may go to college. The anchoring of this problem comes from university entrance requirements.” — Charles Fadel
There is a significant gap between employers’ view of the preparation levels of students and the views of students and educators. The problem likely exists partly because of incorrect assumptions on both sides, but there are also valid deficiencies. What specific inadequacies are behind this gap? What system or process can be devised to resolve this issue?
On one side, employers are expecting too much and shirking their responsibility to bring up the level of their employees, expecting them to graduate 100% “ready to work” and having to spend nothing more than job-specific training at best. On the other side, educators have been tone-deaf to the needs of employers and society to educate broad and deep individuals, not merely ones that may go to college.
The anchoring of this problem comes from university entrance requirements (in the US, AP classes, etc.) and their associated assessments (SAT/ACT scores). They have for decades back-biased what is taught in schools, in a very self-serving manner – narrowly as a test of whether a student will succeed at university. It is time to deconstruct the requirements to broaden/deepen them to serve multiple stakeholders. For the Silo, C.M. Rubin.
(All photos are courtesy of our friends at CMRubinWorld)
C. M. Rubin and Charles Fadel
Join me and globally renowned thought leaders including Sir Michael Barber (UK), Dr. Michael Block (U.S.), Dr. Leon Botstein (U.S.), Professor Clay Christensen (U.S.), Dr. Linda Darling-Hammond (U.S.), Dr. MadhavChavan (India), Charles Fadel (U.S.), Professor Michael Fullan (Canada), Professor Howard Gardner (U.S.), Professor Andy Hargreaves (U.S.), Professor Yvonne Hellman (The Netherlands), Professor Kristin Helstad (Norway), Jean Hendrickson (U.S.), Professor Rose Hipkins (New Zealand), Professor Cornelia Hoogland (Canada), Honourable Jeff Johnson (Canada), Mme. Chantal Kaufmann (Belgium), Dr. EijaKauppinen (Finland), State Secretary TapioKosunen (Finland), Professor Dominique Lafontaine (Belgium), Professor Hugh Lauder (UK), Lord Ken Macdonald (UK), Professor Geoff Masters (Australia), Professor Barry McGaw (Australia), Shiv Nadar (India), Professor R. Natarajan (India), Dr. Pak Tee Ng (Singapore), Dr. Denise Pope (US), Sridhar Rajagopalan (India), Dr. Diane Ravitch (U.S.), Richard Wilson Riley (U.S.), Sir Ken Robinson (UK), Professor Pasi Sahlberg (Finland), Professor Manabu Sato (Japan), Andreas Schleicher (PISA, OECD), Dr. Anthony Seldon (UK), Dr. David Shaffer (U.S.), Dr. Kirsten Sivesind (Norway), Chancellor Stephen Spahn (U.S.), Yves Theze (LyceeFrancais U.S.), Professor Charles Ungerleider (Canada), Professor Tony Wagner (U.S.), Sir David Watson (UK), Professor Dylan Wiliam (UK), Dr. Mark Wormald (UK), Professor Theo Wubbels (The Netherlands), Professor Michael Young (UK), and Professor Minxuan Zhang (China) as they explore the big picture education questions that all nations face today.
C. M. Rubin is the author of two widely read online series for which she received a 2011 Upton Sinclair award, “The Global Search for Education” and “How Will We Read?” She is also the author of three bestselling books, including The Real Alice in Wonderland, is the publisher of CMRubinWorld and is a Disruptor Foundation Fellow.
A recent consumer survey backed by similar results from Elon University reveals that AI adoption for car shopping is skyrocketing, rapidly becoming a standard part of the automobile buying process. This as fully one in four buyers have already used AI tools this year to research, compare prices, negotiate and otherwise outsmart dealerships, and an overwhelming 88% found it helpful. Signaling a seismic shift in the way North Americans are now shopping for cars, nearly half of consumers indicated plans to use AI in their next purchase. Not just for buyer benefits, dealerships are gleaning critical business intelligence from AI to inform sales strategies, train staff and elevate customer engagement. The below report from our friends at CarEdge, which offers its own AI Negotiator car buying tool saving shoppers thousands, details the first data-backed look at how AI tools are reshaping the car buying experience.
Mornine- AI powered car dealership robot.
Study: 1 in 4 Car Buyers Tap AI for Better Deals
Artificial intelligence is changing the way North Americans buy cars, and it’s a transition that is happening quickly. In the first-ever survey of its kind, CarEdge asked 500 car shoppers if they’re using AI tools like ChatGPT to research, compare, and negotiate during the car buying process. The results confirm a major shift is underway. One in four car buyers in 2025 are already using AI tools to gain an edge, and future buyers are even more likely to embrace these technologies.
Car buyers are finding AI to be a valuable tool. Among those who used tools like ChatGPT, Perplexity, Google Gemini, and others, 88% said it was helpful. AI is quickly becoming a trusted co-pilot for car buyers.
Key Findings: Car Buying Is Changing
The 2025 CarEdge AI & Car Buying Survey reveals a clear and growing trend: AI tools are quickly becoming part of the car buying process for a significant portion of consumers. Here are the standout findings:
1 in 4 Car Buyers Use AI
25% of car buyers in 2025 say they used or plan to use AI tools like ChatGPT during the shopping or buying process. This contrasts with a recent survey by Elon University that found 52% of Americans now use AI large language models. While signs point towards increased adoption of AI tools, the CarEdge survey found that most car buyers are still in the early stages of integrating these tools into high-stakes decisions like vehicle purchases. This suggests there’s still significant room for growth in AI adoption amongst car buyers.
AI Use Is Accelerating
Among those who haven’t bought a car yet this year, 40% say they are using or plan to use AI tools during their search or deal-making. This is nearly 3x higher than the 14% seen among those who already bought a car earlier in the year.
AI Tools Deliver Results
Among those who used AI:
88% say the tools were helpful
32% found them very helpful
60% used them “a lot” during the process
The AI Holdouts: Drivers Who Lease
Of the respondents who had already leased a car in 2025, none reported using any AI tools.
The AI-Adopting Buyer: Who’s Using It, and How?
AI adoption among car buyers is still in its early stages, but clear trends are beginning to emerge.
Among Buyers Who Already Purchased in 2025:
Just 14% of those who already bought a vehicle this year used AI tools during the process. Adoption rates were nearly identical across new and used buyers, with 14% in each group saying they used AI tools.
Among Future Car Buyers:
The numbers jump significantly when looking at those who haven’t yet bought in 2025. Among this group — who represent 39% of total respondents — 40% say they either already use or plan to use AI tools during their car search and buying process.
That’s more than triple the current usage rate among recent buyers, suggesting AI adoption is accelerating as awareness grows and tools become easier to use.
This group also appears to be more proactive: 60% of those who used AI tools during their buying journey said they used them “a lot,” while 40% used them only occasionally.
What Car Buyers Are Using AI Tools
AI tools are quickly becoming essential research companions for car shoppers looking to make more informed, confident decisions. After all, why go it alone when a wealth of automotive knowledge powered by large language models (LLMs) is right in your pocket?
Among buyers who used AI tools during their car purchase or lease process, here’s how they put them to work:
88% — Researching Vehicles
The most common use by far, AI tools helped buyers learn about different models, trims, features, and reliability. For many, it was like having an always-available expert to explain the pros and cons of their options.
64% — Comparing Prices and Market Values
Buyers used AI to better understand fair pricing, from invoice pricing to out-the-door.
44% — Learning Negotiation Strategies
Nearly half of AI users leaned on these tools to prepare for conversations with salespeople. Whether role-playing negotiation scenarios or asking how to spot add-on fees, this group used AI to level the playing field at the dealership.
11% — Exploring Finance and Lease Options
A much smaller portion of buyers used these tools to become familiar with leasing vs. financing, how to calculate payments, and similar queries.
Industry Implications
Car buying has always been tilted in favor of the dealership. Information asymmetry — what the dealer knows versus what the customer knows — has long been the source of consumer frustration, confusion, and overpayment.
That dynamic is beginning to shift.
This survey confirms what many in the industry are only starting to realize: AI is giving car buyers the upper hand. Tools like ChatGPT are helping consumers cut through the noise, ask smarter questions, and avoid common dealership traps. Instead of relying on guesswork or scattered advice, buyers are turning to AI for fast, personalized guidance at every step.
But one auto industry veteran has words of caution for buyers relying heavily on AI tools.
“It’s both surprising and a little scary to see how quickly people are turning to AI to guide such a major financial decision,” said Ray Shefska, Co-Founder of CarEdge. “While tools like ChatGPT can be powerful, they’re only as good as the data behind them. AI should complement your research, not replace your own critical thinking.“
That perspective underscores the real takeaway of this report: AI works best when it’s used thoughtfully as a tool, not as a crutch. In an age where automation raises fears of job loss or decision-making without human oversight, this survey offers a more optimistic view — one where technology helps everyday consumers make smarter choices. Used wisely, AI can help level the playing field and bring more transparency and fairness to the car buying experience.
Methodology
This survey was conducted by CarEdge between June 19 and June 24, 2025. A total of 500 U.S. respondents participated, recruited through the CarEdge email newsletter and social media channels. Questions were tailored based on buying status to better understand how and when AI tools were used in the car shopping process.
For the Silo, Karen Hayhurst.
About CarEdge Founded in 2019 by father-and-son team Ray and Zach Shefska, CarEdge is a leading platform dedicated to empowering car shoppers with free expert advice, in-depth market insights, and tools to navigate every step of the car-buying journey. From researching vehicles to negotiating deals, CarEdge helps consumers save money, time, and hassle, hundreds of thousands of happy consumers have used CarEdge to buy their car with confidence. With trusted resources like the CarEdge AI Negotiator tool, Research Center, Vehicle Rankings and Reviews, and hundreds of guides on YouTube, CarEdge is redefining transparency and fairness in the automotive industry. Follow them on YouTube, TikTok, X, Facebook, and Instagram for actionable car-buying tips and market insights. Learn more at www.CarEdge.com.
October, 2025 – Canada has world-class strength in AI research but continues to fall short in widespread adoption, according to a new report from the C.D. Howe Institute. On the heels of the federal government’s announcement of a new AI Strategy Task Force, the report highlights the urgent need to bridge the gap between research excellence and real-world adoption.
In “AI Is Not Rocket Science: Ideas for Achieving Liftoff in Canadian AI Adoption,” Kevin Leyton-Brown, Cinda Heeren, Joanna McGrenere, Raymond Ng, Margo Seltzer, Leonid Sigal, and Michiel van de Panne note that while Canada ranks second globally in top-tier AI researchers and first in the G7 for per capita publications, it is only 20th in AI adoption among OECD countries. “This matters for the economy as a whole, because such knowledge translation is a key vehicle for productivity growth,” the authors say. “It is terrible news, then, that Canada experienced almost no productivity growth in the last decade, compared with a rate 15 times higher in the United States.”
The authors argue that new approaches to knowledge translation are needed because AI is not “rocket science”: instead of focusing on a single industry sector, the discipline develops general-purpose technology that can be applied to almost anything. This makes it harder for Canadian firms to find the right expertise and for academics to sustain ties with industry. Existing approaches – funding academic research, directly subsidizing industry efforts through measures such as SR&ED and superclusters, and promoting partnerships through programs like Mitacs and NSERC Alliance – have not solved the problem.
Four ideas to help firms leverage Canadian academic strength to fuel their AI adoption include: a concierge service to match companies with experts, consulting tied to graduate student scholarships, “research trios” that link AI specialists with domain experts and industry, and a major expansion of AI training from basic literacy to dedicated degrees and continuing education. Drawing on their experiences at the University of British Columbia, the authors show how local initiatives are already bridging gaps between academia and industry – and argue these models should be scaled nationally.
“Canada’s unusual strength in AI research is an enormous asset, but it’s not going to translate into real-world productivity gains unless we find better ways to connect AI researchers and industrial players,” says Kevin Leyton-Brown, professor of computer science at the University of British Columbia and report co-author. “The challenge is not that AI is too complicated – it’s that it touches everything. That means new models of partnership, new incentives, and new approaches to education.”
AI Is Not Rocket Science- 4 Ideas in Detail
Idea 1: A Concierge Service for Matchmaking
We have seen that it is hard for industry partners to know who to contact when they want to learn more about AI. Conversely, it is at least as hard for AI experts to develop a broad enough understanding of the industry landscape to identify applications that would most benefit from their expertise. Given the potential gains to be had from increasing AI adoption across Canadian industry, nobody should be satisfied with the status quo.
We argue that this issue is best addressed by a “concierge service” that industry could contact when seeking AI expertise. While matchmaking would still be challenging for the service itself, it could meet this challenge by employing staff who are trained in eliciting the AI needs of industry partners, who understand enough about AI research to navigate the jargon, and who proactively keep track of the specific expertise of AI researchers across a given jurisdiction. This is specialized work that not everyone could perform! However, many qualified candidates do exist (e.g., PhDs in the mathematical sciences or engineering). Such staff could be funded in a variety of different ways: for example, by an AI institute; a virtual national institute focused on a given application area; a university-level centre like UBC’s Centre for Artificial Intelligence Decision-making and Action (CAIDA); a nonprofit like Mitacs; a provincial ministry for jobs and economic growth; or the new federal ministry of Artificial Intelligence and Digital Innovation.
Having set up an organization that facilitates matchmaking, it could make sense for the same office to provide additional services that speed AI adoption, but that are not core strengths of academics. Some examples include project management, programming, AI-specific skills training and recruitment, and so on. Overall, such an organization could be funded by some combination of direct government support, direct cost recovery, and an overhead model that reinvests revenue from successful projects into new initiatives.
Idea 2: Consultancy in Exchange for Student Scholarships
Many businesses that would benefit from adopting AI do not need custom research projects and do not want to wait a year or more to solve their problems. The lowest-hanging fruit for Canadian AI adoption is ensuring that industry is well informed about potentially useful, off-the-shelf AI technologies. We thus propose a mechanism under which AI experts would provide limited, free consulting to local industry. AI experts would opt in to being on a list of available consultants. A few hours of advice would be free to each company, which would then have the option of co-paying for a limited amount of additional consulting, after which it would pay full freight if both parties wanted to continue. The company would own any intellectual property arising from these conversations, which would thus focus on ideas in the public domain. If the company wanted to access university-owned IP, it could shift to a different arrangement, such as a research contract. This system would work best given a concierge service like the one we just described. The value offered per consulting hour clearly depends on the quality of the academic–industry match, and some kind of vetting system would be needed to ensure the eligibility of industry participants.
Why would an AI expert sign up to give advice to industry? All but the best-funded Canadian faculty working in AI report that obtaining enough funding to support their graduate students is a major stressor. Attempting to establish connections with industry is hard work, and such efforts pay off only if the industry partner signs on the dotted line and matching funds are approved. There is thus space to appeal to faculty with a model in which they “earn” student scholarships for a fixed amount of consulting work. For example, faculty could be offered a one- semester scholarship for every eight hours set aside for meetings with industry, meaning that one weekly “industry office hour” would indefinitely fund two graduate students. Consulting opportunities could also be offered directly to postdoctoral fellows or senior (e.g., post-candidacy) PhD students in exchange for fellowships. In such cases, trainees should be required to pass an interview, certifying that they have both the technical and soft skills necessary to succeed in the consulting role. The concierge service could help decide which industry partners could be routed to PhD students and which need the scarcer consulting slots staffed by faculty members.
The system would offer many benefits. From the industry perspective, it would make it straightforward to get just an hour or two of advice. This might often be enough to allow the company to start taking action towards AI adoption: there is a rich ecosystem of high-performance, reliable, and open-source AI tools; often, the hard part is knowing what tool to use in what way. Beyond the value of the advice itself, consulting meetings offer a strong basis for building relationships between academics and industry representatives, in which the academic plays the role of a useful problem solver rather than of a cold-calling salesperson. These relationships could thus help to incubate Mitacs/Alliance-style projects when research problems of mutual interest emerge (though also see our idea below about how restructuring such projects could help further).
For academics, the system would constitute a new avenue for student funding that would reward each hour spent with a predictable amount of student support. Furthermore, it would offer scaffolded opportunities to deepen connections with industry. The system would come with no reporting requirements beyond logging the time spent on consulting. The faculty member would be free to use earned scholarships to support any student (regardless, for example, of the overlap between the student’s research and the topics of interest to companies), increasing flexibility over the Mitacs/Alliance system, in which specific students work with industry partners. Students who self-funded via consulting would learn valuable skills and would expand their professional networks, improving prospects for post-graduation employment.
Finally, the system would also offer multiple benefits from the government’s perspective. It would generate unusually high levels of industrial impact per dollar spent (consider the number of contact hours between academia and industry achieved per dollar under the funding models mentioned in Section 3). All money would furthermore go towards student training. The system would automatically allocate money where it is most useful, directing student funding to faculty who are both eager to take on students and relevant to industry, all without the overhead of a peer-review process. And it would generate detailed impact reports as a side effect of its operations, since each hour of industry–academia contact would need to be logged to count towards student funding.
Idea 3: Grants for Research Trios
Our third proposal is an approach for expanding the Mitacs/Alliance model to make it work better for AI. Industry–academia partnerships leverage two key kinds of expertise from the academic side: methodological know-how for solving problems and knowledge about the application domain used for formulating such problems in the first place. In fields for which the set of industry partners is relatively small and relatively stable, it makes sense to ask the same academics to develop both kinds of expertise. In very general-purpose domains like AI, it holds back progress to ask AI experts to become domain experts, too. Instead, it makes sense to seek domain knowledge from other academics who already have it. We thus propose a mechanism that would fund “research trios” rather than bilateral research pairings. Each trio would contain an AI expert, an academic domain expert, and an industry partner. This approach capitalizes on the fact that there is a huge pool of academic talent outside core AI with deep disciplinary knowledge and a passion for applying AI. While such researchers are typically not in a position to deeply understand cutting-edge AI methodologies, they are ideally suited to serve as a bridge between researchers focused on AI methodologies and Canadian industrial players seeking to achieve real-world productivity gains. In our experience at UBC, the pool of non-AI domain experts with an interest in applying AI is considerably larger than the pool of AI experts. One advantage of this model is that projects can be initiated by the larger population of domain experts, who are also more likely to have appropriate connections to industry. Beyond this, involving domain experts increases the likelihood that a project will succeed and gives industry partners more reason to trust the process while a solution is being developed. The model meets a growing need for funding researchers outside computer science for projects that involve AI, rather than concentrating AI funding within a group of specialists. At the same time, it avoids the pitfall of encouraging bandwagon-jumping “applied AI” projects that lack adequate grounding in modern AI practices. Finally, it not only transfers AI knowledge to industry, but also does the same to both the domain expert and their students.
Idea 4: Greatly Expanded AI Training
As AI permeates the economy, Canada will face an increasing need for AI expertise. Today, that training comes mostly in the form of computer science degrees. Just as computer science split off from mathematics in the 1960s, AI is emerging today as a discipline distinct from computer science. In part, this shift is taking the form of recognizing that not every AI graduate needs to learn topics that computer science rightly considers part of its core, such as software engineering, operating systems, computer architecture, user interface design, computer graphics, and so on. Conversely, the shift sees new topics as core to the discipline. Most fundamental is machine learning. Dedicated training in AI will require a deeper focus on the mathematical foundations of probability and statistics, building to advanced topics such as deep learning, reinforcement learning, machine learning theory, and so on. Various AI modalities also deserve separate study, such as computer vision, natural language processing, multiagent systems, robotics, and reasoning. Training in ethics, optional in most computer science programs, will become essential.
Beyond dedicated training in the core discipline, we anticipate huge demand for broad-audience AI literacy training; for AI minors to complement other disciplinary specializations; for continuing education and “micro-credential” programs; and for executive education in AI. There is also a growing need for “AI Adoption Facilitators”: bridge-builders who can help established workers in medium-to-large organizations understand how data-driven tools could offer value in solving the problems they face. Training for this role would emphasize business principles and domain expertise, but would also require firmer foundations in machine learning and data science than are currently typical in those disciplines.
Artificial Intelligence (AI) has become an integral part of our daily lives, influencing everything from how we interact with technology to how businesses operate. But where did it all begin? Let’s take a journey through the early days of AI, exploring the key milestones that have shaped this fascinating field.
Today, AI is a rapidly evolving field with applications in various domains, including healthcare, finance, transportation, and entertainment. From virtual assistants like me, Microsoft Copilot, to autonomous vehicles and systems, AI continues to transform our world in profound ways.
A Copilot self generated image when queried “Show me what you look like”. CP
Conclusion
The journey of AI from its early conceptual stages to its current state is a testament to human ingenuity and perseverance. While the field has faced numerous challenges and setbacks, the progress made over the past few decades has been remarkable. As we look to the future, the potential for AI to further revolutionize our lives remains immense.
Did you know that, every year, home renovation projects are derailed by hidden costs, vague language, and inconsistent contractor bids—pushing 78% of jobs over budget and forcing two-thirds of homeowners into debt? It’s not just homeowners who feel the pain: contractors, property managers, real estate agents, investors, and flippers all struggle to assess and compare bids quickly and accurately.
The problem is that contractor quotes are rarely “apples to apples,” often missing critical details or disguising inflated charges—making it hard to identify true scope, cost, and risk. Now, the free-to-use and industry first BidCompareAI tool analyzes and compares multiple contractor bids, instantly identifying missing scope items, unrealistic allowances and other red flags before any work begins … often with tens of thousands of dollars on the line. In minutes, the AI generates a clear, line-by-line report that standardizes bids into transparent, actionable insights—helping homeowners avoid costly overruns, while enabling industry pros to quote with confidence, negotiate smarter, close deals faster, and protect ROI. Interest in this innovation raising industry transparency standards?
AI Reveals These Top 10 Home Renovation Bid Red Flags
First-of-its-kind free AI tool turns confusing, inconsistent contractor bids into clear, side-by-side insights—helping homeowners avoid costly overruns and enabling industry pros to quote, negotiate and close with confidence
Renovations are one of the most expensive and stressful decisions a homeowner makes. Yet 78% of projects blow their budgets, and 2 in 3 homeowners go into debt just to pay for them. Why? Because contractor bids are often riddled with hidden costs, vague language, and missing work that leave you paying more than you bargained for. Thankfully, new AI technology is now making these red flags impossible to ignore—saving homeowners thousands before a hammer is even swung. BidCompareAI is the first-ever AI tool that lets homeowners upload multiple bids and get a fast, detailed report comparing scope, pricing, and red flags—no construction expertise needed and no signup or payment required.
“Homeowners have been forced to make major financial decisions based on unclear or incomplete bids,” says GreatBuildz Co-CEO Jon Grishpul. “BidCompareAI adds instant transparency and clarity—saving people from costly mistakes before a project even starts. For contractors, property managers, and real estate professionals, it’s a credibility and efficiency tool that streamlines communication, builds trust and helps win more business.”
Here are the top 10 red flags often hiding in contractor bids, and how the BidCompareAI tool reveals them instantly:
1. Missing Scope Items — “Surprise” Costs Waiting to Blow Your Budget
Your contractor’s quote doesn’t include demolition, cleanup, or critical tasks? That’s a ticking time bomb. Now, homeowners can catch these omissions so you never get hit with surprise charges.
2. Vague Allowances — The Fine Print That Drains Your Wallet
Ambiguous line items like “fixtures” or “materials” can mean anything. The AI tool flags vague terms so you can demand specifics upfront.
3. Unrealistically Low Bids — Too Good to Be True? Usually Are
Low-ball bids often mean corners will be cut or costs will balloon later. This AI exposes these dangerously low estimates before you get stuck with change orders.
4. Pricing Inconsistencies — Comparing Apples to Oranges?
Quotes come in all formats with wildly different terminology. This advanced technology standardizes and compares them side-by-side, so you’re not left guessing.
5. Hidden Fees — The Black Box of Renovation Budgets
Permits, procurement, and labor fees sometimes get lumped in mysteriously. The AI reveals these “hidden” charges clearly in its summary report.
6. Overlapping or Duplicate Charges — Paying Twice Without Knowing It
Some bids unknowingly charge for the same work twice. The AI delivers a line-by-line analysis that spots these costly errors fast.
7. Unclear Project Timelines — When Delays Lead to Extra Costs
Vague or missing timelines can spiral into costly delays. While timelines aren’t priced, spotting missing info helps you demand accountability.
8. Missing Cleanup and Disposal — Don’t Get Stuck with the Mess
Quotes that don’t include cleanup leave you responsible for hauling debris and disposing of waste. This AI highlights these crucial omissions.
9. Discrepancies in Material Quality — Low-Quality Where You Expected Premium
One bid may specify high-end fixtures while another hides “allowances” that could mean anything. The AI tool flags these differences so you know exactly what you’re paying for.
10. Inconsistent Labor Charges — Watch for Inflated or Unexplained Fees
Labor costs vary widely, and some bids overcharge or include unnecessary markups. This user-friendly technology points out these red flags clearly.
“This is about more than just tech,” added Paul Dashevsky, Co-CEO of GreatBuildz. “It’s about empowering homeowners to feel confident and in control of their renovation projects—and helping contractors better serve their clients.”
Renovations don’t have to be a financial nightmare. As consumer-facing AI tools proliferate across industries, the BidCompareAI innovation demonstrates how artificial intelligence can bring real-world value by making complex, high-stakes decisions—like selecting the right contractor—faster, clearer and far less stressful. For the Silo, Marsha Zorn.
Artificial Intelligence (AI) has infiltrated our lives for decades, but since the public launch of ChatGPT showcasing generative AI in 2022, society has faced unprecedented technological evolution.
With digital technology already a constant part of our lives, AI has the potential to alter the way we live, work, and play – but exponentially faster than conventional computers have. With AI comes staggering possibilities for both advancement and threat.
The AI industry creates unique and dangerous opportunities and challenges. AI can do amazing things humans can’t, but in many situations, referred to as the black box problem, experts cannot explain why particular decisions or sources of information are created. These outcomes can, sometimes, be inaccurate because of flawed data, bad decisions or infamous AI hallucinations. There is little regulation or guidance in software and effectively no regulations or guidelines in AI.
How do researchers find a way to build and deploy valuable, trusted AI when there are so many concerns about the technology’s reliability, accuracy and security?
That was the subject of a recent C.D. Howe Institute conference. In my keynote address, I commented that it all comes down to software. Software is already deeply intertwined in our lives, from health, banking, and communications to transportation and entertainment. Along with its benefits, there is huge potential for the disruption and tampering of societal structures: Power grids, airports, hospital systems, private data, trusted sources of information, and more.
Consumers might not incur great consequences if a shopping application goes awry, but our transportation, financial or medical transactions demand rock-solid technology.
The good news is that experts have the knowledge and expertise to build reliable, secure, high-quality software, as demonstrated across Class A medical devices, airplanes, surgical robots, and more. The bad news is this is rarely standard practice.
As a society, we have often tolerated compromised software for the sake of convenience. We trade privacy, security, and reliability for ease of use and corporate profitability. We have come to view software crashes, identity theft, cybersecurity breaches and the spread of misinformation as everyday occurrences. We are so used to these trade-offs with software that most users don’t even realize that reliable, secure solutions are possible.
With the expected potential of AI, creating trusted technology becomes ever more crucial. Allowing unverifiable AI in our frameworks is akin to building skyscrapers on silt. Security and functionality by design trump whack-a-mole retrofitting. Data must be accurate, protected, and used in the way it’s intended.
Striking a balance between security, quality, functionality, and profit is a complex dance. The BlackBerry phone, for example, set a standard for secure, trusted devices. Data was kept private, activities and information were secure, and operations were never hacked. Devices were used and trusted by prime ministers, CEOs and presidents worldwide. The security features it pioneered live on and are widely used in the devices that outcompeted Blackberry.
Innovators have the know-how and expertise to create quality products. But often the drive for profits takes precedence over painstaking design. In the AI universe, however, where issues of data privacy, inaccuracies, generation of harmful content and exposure of vulnerabilities have far-reaching effects, trust is easily lost.
So, how do we build and maintain trust? Educating end-users and leaders is an excellent place to start. They need to be informed enough to demand better, and corporations need to strike a balance between caution and innovation.
Companies can build trust through a strong adherence to safe software practices, education in AI evolution and adherence to evolving regulations. Governments and corporate leaders can keep abreast of how other organizations and countries are enacting policies that support technological evolution, institute accreditation, and financial incentives that support best practices. Across the globe, countries and regions are already developing strategies and laws to encourage responsible use of AI.
Recent years have seen the creation of codes of conduct and regulatory initiatives such as:
The Bletchley Declaration, Nov. 2023, an international agreement to cooperate on the development of safe AI, has been signed by 28 countries;
US President Biden’s 2023 executive order on the safe, secure and trustworthy development and use of AI; and
Governing AI for Humanity, UN Advisory Body Report, September 2024.
We have the expertise to build solid foundations for AI. It’s now up to leaders and corporations to ensure that much-needed practices, guidelines, policies and regulations are in place and followed. It is also up to end-users to demand quality and accountability.
Now is the time to take steps to mitigate AI’s potential perils so we can build the trust that is needed to harness AI’s extraordinary potential. For the Silo, Charles Eagan. Charles Eagan is the former CTO of Blackberry and a technical advisor to AIE Inc.
With AI reshaping everything from finance to fast food, the $1.5T auto retail industry is finally facing its overdue disruption. The typical car-buying experience—riddled with hidden fees, lead bloat, pricing games and low trust—has remained stubbornly analog. But now, with 90% of dealerships in America (and growing % in Canada and Mexico) experimenting with AI tools and 1 in 4 buyers already using AI to shop, the tide is turning. Agentic AI technology is fundamentally reshaping one of the most significant purchases in a person’s life.
Zach Shefska, Co-Founder and CEO of CarEdge, asserts that agentic AI is the key to rebuilding trust, removing friction and leveling the playing field for both buyers and sellers. From AI-powered shopping assistants that negotiate on your behalf, to data tools that reveal deceptive dealership practices, Shefska is a pioneer in “agentic AI” — a new form of artificial intelligence bringing much-needed transparency to the industry.
The Broken Status Quo: Car buying is frustrating and inefficient for both consumers and dealerships—highlighting key stats like 72% sales staff turnover and 2% lead conversion from third-party platforms.
Lead Generation Platforms Are Failing: Legacy systems flood dealers with unqualified leads, drain resources, and deliver minimal value to consumers.
The Rise of Agentic AI in Auto Retail: Consumers are turning to tools like ChatGPT and CarEdge’s AI agent to navigate purchases with more confidence, speed, and clarity—25% are already doing it.
From Friction to Fluidity: Agentic AI replaces quantity with quality—streamlining the buyer’s journey, reducing information overload, and improving dealer efficiency.
The End of Pricing Games: AI tools now collect and publish out-the-door pricing from thousands of dealerships, exposing hidden fees and rewarding transparent sellers.
The Future of Negotiation: AI agents can negotiate on behalf of both buyers and sellers—minimizing stress, cutting transaction times from days to hours, and removing the adversarial edge.
Real-World Impact Stories: One buyer saved $1,280 and hours of back-and-forth using CarEdge’s agentic AI—illustrating AI’s practical value in real-life scenarios.
AI Helps Honest Dealers Win: In a trust-starved industry, AI gives reputable dealers a new way to stand out by offering full transparency and faster deals.
What’s Next for AI in Auto Retail: The emerging frontier: AI agents dynamically collecting and updating real-time pricing and inventory data across markets to offer true market intelligence.
For the Silo, Zach Shefska. Zach is CEO of CarEdge, a leading platform—founded by father-and-son team Ray and Zach Shefska—dedicated to empowering car shoppers with free expert advice, in-depth market insights and tools to navigate every step of the car-buying journey. From researching vehicles to negotiating deals, CarEdge helps consumers save money, time and hassle. Alsop with trusted resources like the CarEdge Research Center, Vehicle Rankings and Reviews, and hundreds of guides on YouTube, CarEdge is redefining transparency and fairness in the automotive industry. Connect with Shefska at www.CarEdge.com or on social media on YouTube, TikTok, X, Facebook, and Instagram.
Canada is great at AI development, but what should the country’s first Minister for Artificial Intelligence make his key priorities? University of Waterloo’s Anindya Sen and the C.D Howe Institute’s Rosalie Wyonch offer strong insight — and geek out a bit about the economics-oriented nature of machine learning algorithms.
Hello AI Tinkerers and welcome to the latest Sci-Tech article here at The Silo. Get ready, You will want to pay attention because the spotlight is on this Dude because he knows how to get around ‘bad ai prompting’. Just recently, he has helped spin out 40 startups using one core skill. Can you guess which one? Yep. Prompting.
In the One-Shot video below, Kevin Leneway breaks down his real workflow for shipping AI products fast — using markdown checklists, agent coding, rubric-based UI design, and zero Figma.
“I don’t need Figma. I just prompt my way to a working front end.” — Kevin Leneway
While most people are still asking ChatGPT to write code snippets, Kevin is building full-stack products using nothing but prompts. In this One-Shot episode, he reveals the exact system he’s used to launch over 40 startups at Pioneer Square Labs. We break down:
How he writes BRDs and PRDs that don’t suck
Why vibe coding fails and how to actually use AI agents
The markdown checklist that replaces a product team
How to go from idea to working app with zero context switching
His open-source starter kit that makes Cursor and Claude 3.5 feel like magic
“I’ve helped launch six startups including Singlefile (singlefile.io, $24M raised), Recurrent (recurrentauto.com, $24M raised), Joon (joon.com, $9.5M raised), Gradient (gradient.io, $3.5M raised), Genba (genba.ai, acquired May 2022) and Enzzo (enzzo.ai, $3M raised).”
If you’re a builder, this will change how you work. No gimmicks. Just a ruthless focus on speed, clarity, and shipping. Watch now. Learn the system. Steal it. For the Silo, Joe at aitinkerers.org
In 2024, Canada’s labour market showed modest growth, with job creation continuing but lagging rapid population growth. This led to an increase in the unemployment rate, reflecting a mismatch between labour force expansion and job creation rather than a decline in sector-specific labour shortages.
Ongoing challenges persist, such as declining labour productivity, sector-specific labour shortages, underemployment, demographic shifts and disparities, and regional imbalances.
Our international comparisons show that Canada typically ranks at or below the Organisation for Economic Co-operation and Development (OECD) average in terms of labour force participation and employment rates for certain population segments. This is largely due to weaker performance in specific regions, such as the Atlantic provinces, and pension policies that incentivize early retirement.
This labour market review emphasizes the need for tailored policies to improve labour market outcomes for seniors and immigrants. Recommendations include gradually increasing the retirement age, offering high-quality training support, and easing labour mobility barriers.
Introduction
The labour market is where economic changes most directly affect working-age Canadians, influencing their job opportunities and income. The supply of labour also determines the availability of Canadians’ skills and knowledge to employers who combine them with capital to produce goods and services that drive our national income and its distribution among income classes. Therefore, the labour market is one of the most important components of Canada’s – or any – economy.
In 2024, Canada’s labour market saw moderate growth, with employment rising to 20.7 million jobs. However, the employment rate declined to 61.3 percent, down from 62.2 percent in 2023, and remains below the pre-pandemic level of 62.3 percent in 2019. While over 1.7 million employed persons have been added since 2019, employment growth has lagged behind population growth, partly due to an aging population, despite high levels of immigration.1 The unemployment rate also increased, reflecting a gap between job creation and labour force expansion, partly due to limited absorptive capacity to keep pace with population growth.
Job vacancies have decreased since mid-2022, but over half a million positions remained unfilled during the third quarter of 2024 (12 percent higher than the pre-pandemic level). Of these vacancies, the majority were full-time (432,810 positions), with more than 31 percent remaining vacant for the long term – persisting for over 90 days. Despite high full-time vacancies, more than half a million workers were underemployed in 2024, seeking full-time work while employed part-time, indicating mismatches between the skills needed by employers and the skills offered by job seekers. Among sectors facing labour shortages, factors such as better relative wages and working conditions appear to be helping, particularly in industries like construction. Healthcare, on the other hand, may benefit from raising wages and reducing training costs to better attract and retain workers.
Further, Canada faces declining labour productivity, which can be attributed to factors such as stagnant capital investment and automation, high reliance on temporary foreign workers to fill low-paying positions, underemployment (including immigrants’ overqualification), a growing public sector with lower productivity, and shifts in industry composition.
This inaugural C.D. Howe Institute labour market review highlights major differences in the labour market across provinces and sectors and among socio-economic groups. It shows that labour force participation and employment of older workers and recent immigrants still have room for improvement.
Canada needs targeted workforce development policies to improve labour market participation and outcomes for diverse population groups and encourage a longer working life (Holland 2018 and 2019). Our recommendations are to:
Gradually raise the normal retirement age from 65 to 67 and delay pension access.
Support older workers with flexible work, part-time options, and self-employment, especially in the Atlantic provinces.
Invest in high-quality training programs for underrepresented groups, focusing on digital skills and job search strategies.
Streamline credential recognition and licensure for skilled immigrants and ease labour mobility in regulated occupations while maintaining the quality of professional services.
Enhance settlement strategies for immigrants, including workplace-focused language training.
Businesses should integrate automation and artificial intelligence (AI) to boost productivity while improving retention and encouraging later retirement by offering training2 and flexible scheduling (Mahboubi and Zhang 2023).Finally, better informing Canadians about learning and training opportunities and addressing financial and non-financial barriers would improve their training participation rates and empower them to acquire the skills needed in a changing labour market.
Overview of Canada’s Labour Market
Canada’s labour market has undergone major changes over time, influenced by factors such as the COVID-19 pandemic, globalization, technological progress, and demographic shifts. These forces have affected the functioning of the labour market, with demographic changes playing a particularly important role. This section reviews key indicators (i.e., labour-force participation, employment and unemployment) and highlights the major trends and disparities in provincial and national labour markets.
The labour force has grown steadily since 1976 but experienced a decline in 2020 due to the pandemic. The lockdowns and public health measures significantly reduced worker participation, especially among women, in the labour market. However, once the restrictions were lifted, workers returned, and the labour force fully recovered. By 2024, Canada had 22.1 million people in the labour force, an increase of about 1.9 million from 2019, mainly driven by the expansionary immigration policy that the country has followed until recently.3 Immigrants accounted for 56 percent of this increase in the labour force, while non-permanent residents made up 32 percent.4
Although the labour force has grown over time, the labour force participation rate (LFPR) has trended downward over the last two decades. This trend is largely driven by an aging population, as participation rates drop sharply after age 54 and continue to decline with age. While the LFPR among prime-aged workers (25-54) reached a record high in 2023, the overall rate remained below pre-pandemic levels and declined further in 2024, reaching 65.5 percent despite high levels of immigration.5 Three factors contributed to this decline compared to pre-pandemic levels: a lower participation rate among youth, a substantial increase in the older population (aged 55 and over) and a decline in the latter group’s participation rate. This decline in older workers’ participation is primarily due to aging, as the proportion of seniors aged 65 and over within the 55-and-over age group increased from 54.8 percent in 2019 to 60 percent in 2024.
The employment rate is more sensitive to economic conditions and fluctuates with cyclical changes in the unemployment rate. It is also influenced by factors such as government policies on education, training, and income support, as well as employers’ investments in skill development and their effectiveness in matching people to jobs. Despite some volatility during economic booms and recessions, the employment rate trended upward until 2008 but has declined since then, mirroring the impact of an aging population on the participation rate (Figure 1). The pandemic caused a sharp decline in the employment rate, followed by a modest recovery. In 2024, the rate, however, declined again by approximately one percentage point to 61.3 percent, as employment growth (1.9 percent) failed to keep pace with the population growth (3 percent).
Regional disparities in employment persist across Canada. Alberta consistently maintains the highest employment rate, while Newfoundland and Labrador lags. Despite significant improvements since 1976, the Atlantic provinces continue to face challenges with employment. For its part, Ontario’s employment rate – historically the second highest in the country – has been below the national average since 2008. Regional differences in economic development, sectoral specialization patterns, educational attainment, family policy, and demographic characteristics are factors behind these employment disparities. For example, Newfoundland and Labrador and New Brunswick had the highest old-age dependency ratios (OADs) in 2024 at 39 and 37 percent, respectively, while Alberta remains the youngest province with an OAD ratio of less than 23 percent.6
The unemployment rate, a key short-term indicator, tends to rise during economic downturns and fall back during recovery, affecting employment outcomes in the opposite direction (Figure 1). The onset of the pandemic in 2020 led to a temporary surge in the unemployment rate to 9.7 percent – a four-percentage point hike from the previous year. As the economy recovered, the unemployment rate plummeted to a record low of 5.3 percent in 2022. However, by 2024, it had risen to 6.3 percent, a figure that remains relatively low by historical standards but higher than the pre-pandemic rate in 2019.
While employment grew by 1.7 million people between 2019 and 2024, the labour force expanded even faster, increasing by 1.9 million people. This imbalance – where the labour force grew more quickly than employment – pushed the unemployment rate higher, reflecting a loosening labour market and making it more challenging for job seekers to secure employment.
Overall, the labour force and employment in Canada have been expanding due to a surge in immigration. Despite unemployment rates remaining higher than the pre-pandemic level, this primarily reflects the exceptional growth in the labour force rather than a lack of job creation. The labour market continues to adjust to the increase in labour supply through strong job creation.
Looking ahead, several uncertainties and factors could influence unemployment rates. For example, the imposition of trade tariffs by the United States poses a direct risk to export-related jobs. In 2024, 8.8 percent of workers – equivalent to 1.8 million people – were employed in industries dependent on US demand for Canadian exports.7 Sectors most vulnerable to these risks include oil and gas extraction, pipeline transportation, and primary metal manufacturing.
On the other hand, stricter immigration policies that limit the inflow of permanent and non-permanent residents may reduce the growth of the labour force, which could, in turn, place downward pressure on the unemployment rate. However, the ongoing arrival of refugees, which contributes to the growing population of non-permanent residents, could lead to higher unemployment rates, particularly if newcomers face significant challenges integrating into the labour market.
To mitigate the negative impacts of aging on the labour market and address labour needs, it is important to encourage greater participation of underrepresented groups and seniors, ensure new entrants and young workers are equipped with the relevant skills to meet the labour market needs and enhance the productivity of the existing workforce. However, declining labour productivity poses an additional challenge that requires urgent attention.
Trends in Labour Productivity
Labour productivity8 in Canada has generally trended upward until the pandemic, but with a general downward trend in its growth rate. In 2020, average productivity surged to $68.5 per hour worked (in 2017 dollars), mainly driven by compositional changes in employment towards more productive jobs, particularly in the business sector, since most job losses were among low-wage workers. However, this gain proved short-lived; by 2023, productivity fell to $63.6, returning to nearly the same level as in 2019 (Figure 2).
Declining productivity has contributed to a reduction in real GDP per capita, which is a key indicator of Canadians’ living standards. Although Canada’s GDP rose by 6.9 percent (in 2017 dollars) between Q4 2019 and Q4 2023, GDP per capita decreased by 0.2 percent over that period. Since 2020, Canada’s GDP per capita growth has averaged an annual decline of 1.3 percent, compared to a growth rate of 1 percent per year between 2010 and 2019 (Wang 2022). Labour productivity continued to decline in 2024 as real GDP growth fell short of the growth of hours worked. This stands in stark contrast to the robust growth of labour productivity seen in the US during the same period.
Several factors, including human capital stock, skills utilization, overqualification, the concentration of immigrants in low-skilled jobs, limited capital investment, and slow adoption of technology, have likely contributed to recent poor labour productivity trends (Wang 2022; Robson and Bafale 2023, 2024). Notably, the combined influx of immigrants and non-permanent residents has driven the majority of employment growth between 2019 and 2024, accounting for 89 percent of the total increase in employment. Although immigrants and non-permanent residents are more likely than Canadian-born workers to have a university education, many are overqualified and work in jobs that require only a high-school diploma (Mahboubi and Zhang 2024). According to the 2021 census, the overqualification rate among immigrants9 and non-permanent residents was 21 percent and 32.4 percent, respectively, while only 8.8 percent of Canadian-born individuals with a bachelor’s degree or higher were overqualified (Schimmele and Hou 2024). With rising immigration, Canada’s productivity will increasingly depend on how effectively it leverages and develops the skills of new immigrants (Rogers 2024).
The recent influx of newcomers can help mitigate the impact of an aging population as they tend to be younger, typically being at their prime working age (Maestas, Mullen and Powell 2023). However, the concentration of immigrants and non-permanent residents in lower-skilled, low-paying sectors and occupations reduces productivity and, consequently, their contribution to GDP per capita. According to Lu and Hou (2023), between 2010 and 2019, non-permanent residents (work permit holders) were increasingly concentrated in several low-paying industries: accommodation and food services, retail trade, and administrative and support, waste management and remediation services.10 Collectively, these industries accounted for 45 percent of all temporary foreign workers in 2019. With the surge of non-permanent residents, one would expect the situation to have worsened in 2023 since the cap for hiring low-wage temporary foreign workers in 2022 increased from 10 percent to 30 percent in seven sectors, including accommodation and food services and to 20 percent for other industries.11 Similarly, Picot and Mehdi (2024) found that immigrants contribute approximately equal amounts of lower-skilled and higher-skilled labour, with 35 percent of those who landed in 2018 or 2019 working in lower-skilled jobs by 2021.
Relying on temporary foreign workers and immigrants to fill lower-skilled, low-paying jobs means that labour becomes a cheaper option than capital, which naturally disincentivizes businesses from investing in productivity-enhancing technology.12 Increases in the supply of labour also discourage business investment in skills upgrading for the existing workforce (Acemoglu and Pischke 1999).
Increases in labour supply without corresponding higher capital investment will also depress productivity. According to Robson and Bafale (2023), a larger labour force resulting from high immigration will not lead to higher living standards if workers are not equipped with better tools to produce and compete. Young and Lalonde (2024) also found that two-thirds of productivity declines since 2021 stem from this population shock.
Technological advancements, particularly digitalization and AI, offer opportunities to boost productivity. Mischke et al. (2024) find that digitalization and other technological advances could add up to 1.5 percentage points to annual productivity growth in advanced economies. Nevertheless, Canada has been slow in capital investment, automation and AI adoption.
The expansion of the public sector also poses challenges. Compared to 2019, public-sector employment increased by 19.6 percent in 2024, while private sector employment only saw an 8.5 percent increase. Consequently, public-sector jobs in 2024 accounted for 21.5 percent of all employment in Canada, up from 19.6 percent in 2019. However, public-sector productivity has lagged the business sector since 2019. In 2023, it was $58.20 per hour worked, 1.5 percent lower than its 2019 level and 1.5 percent below that of the business sector. With a higher share of public employment in the economy, this lower productivity in the public sector reduces overall labour productivity.
Lastly, significant variations in productivity across industries within the business sector shape Canada’s overall performance (Appendix Figure A1). Some industries, such as educational services, experienced notable productivity gains of 25 percent between 2019 and 2023. In contrast, some low-productivity industries faced substantial declines, with that of holding companies decreasing by 60 percent and construction and transportation dropping by 10 percent.13 Labour productivity in industries with the largest employment gains remained unchanged (professional, scientific, and technical services) or declined (public administration) during the same period (Appendix Figure A2). In contrast, agriculture and accommodation and food services witnessed productivity increases, likely due to investments in machinery and automation accompanying employment declines.
Therefore, the industrial distribution of jobs, shifts in industry composition, and demographic changes within industries can greatly affect Canada’s overall productivity. Tackling Canada’s productivity challenges will require substantial capital investment, targeted initiatives in skills development, technological advancements, and industry-specific strategies to promote sustainable economic growth.
Employment by Skill Level
Skill-biased technological changes – innovations that primarily benefit highly skilled workers, such as those proficient in technology, complex problem-solving, and critical thinking – have increased the demand for high-skilled labour in today’s job market. Despite the limitations of that approach, education has generally been used as a proxy for skills. In response to labour market needs, there has been a significant surge in higher education attainment among Canadians over time. The proportion of the population aged 25 and over having a postsecondary certificate, diploma or university degree rose from 37 percent in 1990 to 69 percent in 2024. According to OECD (2024), Canada has the highest postsecondary education attainment rate among core working-age individuals (25-64).
Despite these educational advancements, Canada faces productivity challenges and lags in technological adoption, particularly relative to the United States. One explanation is that although higher levels of education should translate into greater skills – leading to enhanced productivity, employability and adaptability to labour market changes – other factors such as education quality, experience, on-the-job training, capital investment, technological advancement, skill utilization, and age can substantially influence individuals’ skills levels (Mahboubi 2017b and 2019; Robson and Bafale 2023).
Skills and education levels heavily influence labour-market outcomes. For example, labour force participation, including among seniors, increases with educational attainment and those with higher education tend to remain in the labour market longer. This can mitigate some of the negative effects of an aging labour force, as significantly more seniors today possess a formal education above high school compared to decades ago and can take advantage of the ongoing shift from physical work to knowledge-based work.
In parallel with increases in the supply of highly educated labour, there has been a shift in skills requirements among employers.14 Figure 3 shows employment in high-skill-level occupations has seen remarkable growth over the past three decades, increasing by 299 percent from 1987 to 2024. Notably, during the pandemic, employment in high-skill-level roles continued to grow, even as jobs in other skill categories declined. By 2024, high-skill-level occupations accounted for 23 percent of total employment. Despite this growth, medium- and low-skill-level occupations remain predominant, employing approximately 8.1 million and 5.8 million workers, respectively, compared to 4.8 million in high-skill roles. In the last two decades, immigrants and non-permanent residents have increasingly taken both high-skilled and low-skilled jobs. Between 2001 and 2021, they accounted for half of the employment growth in professional and technical skill occupations (Picot and Hou 2024). Over the same period, employment in lower-skilled occupations decreased by half a million. However, more immigrants and non-permanent residents increasingly occupied low-skilled positions, while Canadian-born workers significantly transitioned away from these roles (Picot and Hou 2024). By 2021, immigrants were more concentrated in professional and lower-skilled occupations compared to their Canadian-born counterparts.
In general, the Canadian labour market has performed well since the pandemic, with particularly strong employment growth for high-skill level occupations. As demand for high-skilled labour continues to grow, improving education quality, promoting on-the-job training, and better utilizing the skills of the workforce are essential for maintaining this balance, maximizing the benefits of educational advancements, enhancing productivity and meeting the evolving demands of the labour market.
Imbalances of Labour Supply and Demand
Studying the relationship between unemployment and job vacancies provides insight into labour supply and demand imbalances. It allows us to examine two problems that hinder business growth and slow the economy down: the lack of sufficient employment opportunities for job seekers and the absence of people with the right skills to fill existing jobs.
This relationship is often described by the Beveridge curve, which illustrates how job vacancy rates and unemployment typically move in opposite directions. However, as noted by Blanchard, Domash, and Summers (2022), shifts in this relationship can occur due to factors such as increased labour demand or structural changes in the economy, leading to both higher vacancy rates and higher unemployment simultaneously.
From 2021 to mid-2022, Canada experienced a tight labour market, with an increase in job vacancies alongside declining unemployment. In response, the federal government relaxed several immigration policies to help address these shortages. However, Fortin (2024, 2025) found that a surge in immigration, particularly driven by temporary immigrants, may aggravate job vacancy rates in the overall economy, as observed in Canada between 2019 and 2023. While immigration can initially alleviate skilled labour shortages, it can also intensify shortages in the broader economy due to increased demand from newcomers for goods and services.
In 2024, the labour market transitioned from a state of tightness to a slackening one. In the third quarter of 2024, job vacancies in Canada totalled more than 572,000,15 marking a 12 percent increase compared to the pre-pandemic level in Q4 2019. With 1.5 million unemployed people in the labour market, there were more than two job seekers for every vacant position during that quarter. However, the provincial situations varied (Figure 4). For example, while British Columbia experienced a relatively tighter labour market, with fewer than two unemployed persons for each vacant position, there were more than four unemployed persons available per vacant position in Newfoundland and Labrador. However, the long-term vacancy rate – the share of openings that remained vacant for 90 days or more in total vacancies – in that province was 36.9 percent, which was four percentage points higher than the British Columbia rate in the third quarter of 2024. This indicates both limited employment opportunities for those unemployed and a mismatch between existing skills and those demanded by employers.
Imbalances between labour supply and demand in Canada also exist at the industry level (Figure 5). For example, while the healthcare sector faces severe labour shortages, the information, culture and recreation industry has the highest unemployment-to-vacancy ratio, indicating an excess labour supply. One interesting observation is that while both the construction and manufacturing sectors had similar levels of excess labour supply, the vacancy rate in construction was significantly higher at 3.6 percent, compared to 2.2 percent in manufacturing. This suggests that employers in the construction sector face more challenges in finding workers with the right skills.
The unemployment-to-job vacancy ratios across industries excluded some 612,000 unclassified unemployed persons: those who had never worked before or were employed more than a year earlier. According to Statistics Canada, about 43 percent of job vacancies in the third quarter of 2024 were for entry-level positions, which is helpful for those unclassified unemployed persons as these roles typically do not require prior experience. However, the specific skills and education requirements of these entry-level positions remain unclear.
An analysis of educational requirements for vacancies in the same quarter shows that 48 percent of all job vacancies required post-secondary training or education. Positions requiring post-secondary education below a bachelor’s degree had an unemployment-to-job vacancy ratio of 2.6, while those requiring a bachelor’s degree or higher faced a higher ratio of 4.1. In contrast, vacancies requiring only a high-school diploma or less had a lower unemployment-to-job vacancy ratio of 1.8. However, employers find it more challenging to secure suitable candidates for positions requiring higher educational levels and specialized skills, particularly at wage levels that candidates are willing to accept.
Wages play an important role in reducing labour market imbalances, as they affect both the supply and demand for labour and encourage labour mobility and reallocation. Between Q4 2019 and Q3 2024, the average offered hourly wage saw the largest increases in industries such as arts and entertainment, agriculture, and information and cultural industries (over 30 percent). These sectors also experienced the most significant reductions in job vacancies, suggesting that offering higher wages can help alleviate labour shortages. To address shortages more broadly, there may also need to be a restructuring of relative wages and working conditions between occupations with labour shortages and those with surplus labour.
Offered wage, or stated salary, rates for vacant positions should largely depend on the growth of job vacancies and the difficulties in finding candidates to fill them. However, Figure 6 shows that industries experiencing a surge in vacancies post-pandemic did not respond consistently. In fact, the average hourly offered wage in these industries fell short of the national average, which was 27 percent between Q4 2019 and Q3 2024. For example, despite substantial growth in vacancies and a shortage of candidates in healthcare, the average offered wage growth in this industry only increased by 23 percent. This is largely due to government control over wages, making them less responsive to market forces. Policies like Ontario’s Bill 124, which capped annual wage increases at one percent for civil servants from 2019 to 2022, have contributed to this restraint. Additionally, multi-year labour contracts and provincial efforts to reduce deficits and debt post-COVID have further limited wage growth in the sector.
In Q3 2024, the average hourly offered wage in the utilities sector only increased by 2 percent compared to the pre-pandemic level, despite a 48 percent increase in job vacancies. Employers in this sector need to raise wages to attract and retain workers with the necessary skills. Otherwise, they will rely on their current workforce to work longer hours to maintain operations, which can lead to lower productivity per additional hour of work and retention challenges.
The average offered wage rate by occupation follows a similar trend (Appendix Figure A3). For example, despite a 59 percent increase in job vacancies, the wage rate for occupations in education, law and social, community and government services only rose by 16 percent, which is below the national average. This further highlights the need for employers to raise wages and improve working conditions to attract and retain workers.
Outcomes by Demographic Characteristics
While labour market indicators point to a strong post-pandemic recovery characterized by high employment, not all working-age Canadians have equally participated in and benefited from this resurgence, highlighting untapped potential across different population groups. Notably, recent demographic trends highlight that the older population and immigrants experience distinct labour market outcomes. Seniors (aged 65 and over) have substantially lower labour force participation rates compared to other demographics, raising concerns about both their economic security and potential contributions to the workforce. Additionally, immigrants frequently face employment barriers that limit their ability to fully integrate into the labour market and contribute to addressing the challenges posed by an aging population. Understanding the labour market outcomes for these groups is important for identifying the obstacles they face and formulating targeted policy recommendations to enhance their participation and success in the workforce.16
Age
There are significant variations in labour force participation across age groups. As expected, seniors exhibit the lowest participation rates, with their engagement in the labour market declining substantially after age 65 (Figure 7). Seniors’ participation rate is low across all provinces, albeit with varying degrees. For instance, Saskatchewan has the highest participation rate for seniors at 18.5 percent, while Newfoundland and Labrador records a notably lower rate of 11.5 percent. The four provinces in the Atlantic region, where the aging problem is more severe, have the lowest participation rate. A lack of employment opportunities for seniors in this region seems to be a major driver, with their unemployment rate significantly higher than both the national average and their counterparts aged 25 to 64 (except for Nova Scotia) (Figure 8).
While seniors participate far less than other Canadians in the labour market, Figure 9 shows significant shifts in their average retirement age over time and notable differences across employment types. Self-employed workers consistently retire later than other workers, with their average retirement age exceeding 68 in recent years, while public sector workers tend to retire earlier. These trends likely reflect variations in pension structures, job security, and financial incentives across employment types. Between 1976 and 1998, the average retirement age of all workers declined by four years to 60.9, likely influenced by the introduction of early retirement pension schemes in order to free up jobs for younger workers (OECD 2017). However, this shift had no obvious impact on younger workers’ employment. Many economists also warned that these measures were shortsighted, as the aging of the baby boomer generation would eventually create new challenges. Meanwhile, concerns about the financial sustainability of pension systems grew due to the increasing life expectancy and subsequent rising costs of providing retirement income (Banks et al. 2010; Herbertsson and Orszag 2003; Jousten et al. 2008; Kalwij et al. 2010; OECD 2017).
In response, the federal government in 2012 increased financial penalties for early retirement to encourage longer working lives.17 Consequently, the average retirement age of all workers began to rise and reached 65.3 in 2024, slightly surpassing its 1976 level. However, the persistent gap between the public sector and self-employed workers suggests that policy adjustments – such as pension reform or incentives for longer careers in the public sector – could be considered to encourage more uniform retirement patterns across employment types. The recent influx of immigrants may also help to alleviate the impact of the retirement wave, as immigrants are more likely to keep working and retire later. According to Fan (2024), the average retirement age among immigrant workers is around 66 over the last decade, two years older than that for Canadian-born workers.
Accordingly, the LFPR of seniors has increased substantially from a historical low of 6 percent in 2001 to 15 percent in 2024. Termination of mandatory retirement, lack of sufficient savings, higher educational attainments, and better health conditions among seniors have contributed to these LFPR increases.18 Hicks (2012) predicts that social and economic pressures will lead to further delay in retirement in the future. For example, of all seniors aged 65 to 74, including both Canadian-born and immigrants, one in ten were employed in 2022 (Morissette and Hou 2024). Nine percent reported working by necessity, while immigrant seniors were more likely to do so than their Canadian-born counterparts.
In the long run, labour productivity growth is the primary driver of Canada’s GDP per capita growth, though the participation rate of seniors can also have a significant impact. Wang (2022) found that during the pandemic, declines in employment and participation rates driven by young people and seniors were major contributors to the sharp drop in GDP per capita. He estimated that if work intensity, the employment rate, and the participation rate had maintained their pre-pandemic momentum from 2010 onward, Canada’s GDP per capita could have been 4 percent higher in 2021 than it was.
As babyboomers are gradually retiring, their lower LFPR will continue to influence the overall participation rate. Vézina et al. (2024) found that the overall participation rate is expected to continue declining in the short term, regardless of the number of immigrants selected. Across various scenarios, the overall participation rate appears to be more sensitive to changes in the participation of seniors than to increases in immigration.19 As a result, keeping older workers, particularly those aged 55 and over, in the labour market could significantly impact the future overall participation rate. As more older workers remain employed, improvements in employment assistance, labour market flexibility, and skills upgrading will be essential (Vézina et al. 2024).
International Comparisons of Pension and Retirement Policies
An international comparison reveals that differences in pension and retirement policies play a crucial role in explaining disparities in employment and retirement decisions across countries (Figure 10). Factors such as the flexibility to choose between continuing to work or claiming a pension, legal provisions regarding age-based termination of employment, and employers’ retention strategies – such as offering on-the-job training and flexible work schedules – greatly influence retirement timing.
One of the most significant factors contributing to the variation in employment decisions across OECD countries is the normal age at which individuals can claim full pension benefits. For instance, in 2022, over 32 percent of Iceland’s population aged 65 and over was employed, although the normal retirement age is 67, with the earliest pension access at age 65. In contrast, only about 14 percent of Canada’s population in the same age group remained employed despite having a higher life expectancy. This discrepancy can be explained by Canada’s normal retirement age of 65, with pension benefits available as early as age 60.
Cross-country analyses show that policy reforms reducing financial incentives for early retirement were key drivers behind the increase in old-age employment (Coile et al. 2024). To address challenges related to aging populations, many countries such as Australia, Denmark, the UK, Japan and Italy have raised, or plan to gradually increase, the retirement age to encourage longer working lives. Denmark and Sweden have even indexed their mandatory retirement ages to life expectancy. Canada should consider similar approaches by raising the normal retirement age and delaying the earliest access age.
Immigrants
International immigration has significantly contributed to Canada’s population and labour force growth. Between 2019 and 2024, immigrants and non-permanent residents accounted for 68 percent of the population growth and over 88 percent of the increase in the labour force. However, immigrants often encounter various obstacles such as language barriers, a lack of Canadian work experience and varying recognition for foreign education and experience (Mahboubi and Zhang 2024). These challenges can limit their employment opportunities and earnings. Furthermore, as Canada faces an aging population, the challenge of integrating immigrants into the workforce becomes even more critical. While aging workers often possess valuable experience, they may struggle with the physical demands of certain jobs or require retraining. Newcomers, on the other hand, may not be immediately equipped to fill these gaps in employment. The productivity levels of immigrants can also be affected by their integration into the labour market, as they may require additional training and support to navigate workplace expectations and cultural nuances.
In 2024, immigrants aged 25 to 54 had a lower employment rate (by 4.3 percentage points) compared to non-immigrants (Figure 11). This gap has narrowed since 2006 and continued to decline even through the pandemic despite the latter’s greater impact on immigrants.20 The remaining gap is mainly due to the lower employment rate of female immigrants.
Employment outcomes of immigrants, particularly among women, depend predominantly on the number of years spent in Canada. For women aged 25-54, the employment gap between female non-immigrants and more recent immigrants (who landed less than 5 years) was 15.5 percentage points. This gap narrowed to 10.6 percentage points for immigrants who landed between 6 and 10 years and further to 6.2 percentage points for those who have been in Canada for more than 10 years.
Over the last decade, the improvements in immigrant employment rates are likely attributed to several factors. These include an increased selection of economic immigrants from non-permanent residents with Canadian work experience, the implementation of the Express Entry21 system for immigration selection, and favourable economic conditions where the demand and supply of immigrant labour are broadly aligned (Hou 2024). In addition, the growth in managerial, professional, and technical occupations accelerated in the late 2010s (Frenette 2023), which would benefit recent immigrants with a university education. Recent immigrants in the prime age group of 25 to 54 have seen faster employment rate growth since the early 2010s, with a notable increase of 13.1 percentage points from 2010 to 2024, compared to a 3.5 percentage point increase among non-immigrants.
However, it’s important to note that some of these conditions may change in the short term. For example, the employment rate for recent immigrants stalled from 2022 to 2023, a period when labour shortages eased, and levels of both permanent and non-permanent immigration rose rapidly (Hou 2024). As such, the dynamics of labour supply and demand have changed, particularly with the increases in the labour supply of new immigrants and non-permanent residents coupled with a cooling labour market and rising unemployment. This could negatively affect the employment outcomes of foreign-born residents in Canada more than those of Canadian-born individuals, as immigrants are often disproportionately affected during economic downturns. In 2024, there was a large increase in the unemployment rate of recent permanent immigrants, rising from 8 percent in 2023 to 9.9 percent. This is more than double the unemployment rate of non-immigrants, indicating the difficulties recent immigrants face in securing employment.
The employment rate of immigrants residing in some provinces is lower than the national rate, such as Ontario and PEI (Figure 12). The relatively poor employment outcomes among immigrants in these provinces may stem from specific employment barriers unique to immigrants, as the unemployment rate of non-immigrants in these provinces remains below the national rate. However, immigrants in Newfoundland and Labrador have a higher employment rate than non-immigrants. In contrast, the employment gap between immigrants and non-immigrants is most pronounced in Quebec, a province with the highest employment rate for non-immigrants in Canada. This gap can, to some extent, be due to a large gap in the unemployment rates of these two population groups. The unemployment rate of immigrants in Quebec is twice that of non-immigrants (or a gap of 3.5 percentage points). Grenier and Nadeau (2011) show that the lack of knowledge of French largely explains why the employment rate gap between immigrants and non-immigrants is larger in Montreal than in Toronto. Greater emphasis on official language training could enhance their ability to fully participate in the local labour market.
Policy Discussion
While the Canadian labour market has shown resilience post-pandemic and continued to perform relatively well in 2024, significant disparities across regions, industries, and demographic groups highlight opportunities to improve participation and employment outcomes. Further, Canada’s declining productivity poses a challenge to the labour market’s ability to drive sustained economic growth and competitiveness.
Demographic shifts, particularly an aging population, continue to affect participation rates and contribute to some shortages. Notably, the expansion of the health industry and the associated labour shortages are closely tied to Canada’s aging population. However, in some industries, average offered wages have not risen enough to attract a larger labour supply, and employers have not sufficiently adopted alternative strategies, such as capital investment and automation, to address their workforce needs.
Addressing these challenges requires a holistic approach. Beyond automation and higher wages, investing in existing workers and removing barriers to labour-market participation by underrepresented groups – such as women, youth, Indigenous Peoples, and seniors – can significantly improve labour market outcomes.
Regional differences in economic conditions contribute to provincial variations in the participation of seniors, while differences in pension and retirement policies play an important role in driving discrepancies in retirement timing across countries. Gradually increasing the normal retirement age is a strategy adopted by some countries to encourage later retirement among seniors. In Canada, the federal government in Budget 2019 offered a way to make later retirement financially more attractive by increasing the Guaranteed Income Supplement (GIS) earnings exemption, allowing seniors to retain more of their increased income if they choose to work. However, provincial measures aimed at boosting older workers’ labour force participation have had mixed results. For instance, Lacroix and Michaud (2024) found that a tax credit in Quebec designed to boost employment among older workers had no significant impact on transitions in or out of the labour force, with only modest effects on earnings for those aged 60 to 64. The study concluded that this measure was not a cost-effective way to increase public revenue or employment rates for older workers.
While the Conservative government in 2012 announced a plan to gradually raise the eligibility age for Canada’s Old Age Security benefits from 65 to 67 starting in 2023, the newly elected Liberal government cancelled the plan in 2016. However, with an aging population and increasing longevity, Canada should reconsider gradual adjustments to the normal retirement age and the earliest access age to help sustain public pension systems and ease demographic pressures. This approach aligns with successful international models, though it requires careful implementation to account for differences in job types and income levels.
Seniors today are healthier and living longer, and delaying retirement can offer both personal and economic benefits and ease demographic transitions (Robson and Mahboubi 2018). Longer working lives allow individuals to accumulate greater retirement savings, reducing the risk of financial insecurity in old age. Working longer has also been linked to better cognitive function, mental well-being, and social engagement.
That said, raising the retirement age would affect workers differently depending on their occupations and financial situations. While high-income, knowledge-based workers may benefit from extended careers through flexible work arrangements or hybrid options, many low-income workers in physically demanding jobs – such as those in construction, manufacturing, or caregiving – may find it challenging to work longer. Policies promoting flexible work options, lifelong learning initiatives, and encouraging and monitoring training program uptake22 can help older workers stay in the workforce longer and maintain their skills (Mahboubi and Mokaya 2021).23 Targeted support, such as enhanced workplace accommodations, phased retirement options, and retraining programs for workers in physically demanding jobs, could ensure that a later retirement age does not disproportionately burden lower-income individuals.
In response to population aging and existing labour shortages, Canada has increasingly relied on higher levels of immigration. However, the overqualification of immigrants’ skills and credentials, particularly among those from non-Western countries, remains a persistent issue. The successful integration of newcomers into the workforce is important to mitigate the short-term impact of an aging population on the labour market and enhance productivity. For example, recognizing the credentials of foreign-trained professionals in fields like healthcare could increase their productivity and earnings, helping to address the chronic shortage of healthcare workers. However, many skilled immigrants hold qualifications in regulated fields overseen by provincial regulatory bodies, which creates considerable barriers to entering the labour market. While these regulations aim to uphold public safety, they differ among provinces. Over the past few years, several provincial governments have taken steps to reduce barriers for foreign-trained immigrants. For instance, British Columbia and Nova Scotia have expedited credential assessments for foreign-trained healthcare professionals, which helped expand their healthcare workforce. Other provinces should consider adopting similar initiatives.
Licensed workers, either immigrants or non-immigrants, in these occupations also face barriers if they wish to change their province of residence. Easing provincial labour mobility in regulated professions could help reduce regional labour shortages in these sectors. Ensuring immigrants’ skills and qualifications are recognized and accepted by employers is also important.
Canada also needs to adopt more effective settlement strategies, with a strong emphasis on improving language proficiency for immigrants who struggle with communication skills. Language training tailored to workplace culture can also bridge language gaps and help newcomers obtain licences to integrate into the labour market. A notable example is the Health English Language Pro (HELP) program, which was launched by ACCES Employment to support internationally educated physicians. The program pairs Canadian physician volunteers with internationally trained medical graduates to help them acquire the necessary medical English skills. Furthermore, in recent years, the expansion of language training facilities has not kept pace with the explosive increase in the number of permanent and temporary immigrants. Governments need to systematically evaluate settlement service agencies to assess the returns on investment and enhance the effectiveness of these services in the labour market.
In addition to reducing regional disparities and improving labour market fluidity – making it easier for workers to transition between jobs – Canada should also focus on increasing GDP per capita by encouraging greater capital investment (Robson, Kronick and Kim 2019; Gu 2024; Robson and Bafale 2023 and 2024) and promoting the adoption of new technologies (e.g., AI, robotics, and automation), with a focus on increasing productivity and complementing the skills of the existing workforce.
Canada’s labour productivity has declined recently – a worrisome trend. Enhancing labour productivity involves addressing skill shortages, overqualification and mismatches. Policies that encourage training and promote automation, as well as higher wages in high-demand sectors, are essential. The potential of AI should also be explored to support labour productivity and mitigate skills and labour shortages (Mahboubi and Zhang 2023). However, it is equally important to provide support for the displacement of low-skilled workers who may be impacted by automation. Governments and employers should focus on training programs that align with the evolving demands of the labour market, including reskilling and upskilling initiatives for those at risk of displacement.
Conclusion
Addressing the challenges of an aging population, a lower senior participation rate, the overqualification of immigrants’ skills, and declining labour productivity requires comprehensive and targeted policy interventions. Canada’s labour market will benefit from proactive measures that support both its existing workforce and newcomers while addressing the demographic pressures ahead.
To ensure sustainable economic growth and greater labour market participation, the following policy actions should be considered:
The federal government should gradually raise the normal retirement age to 67 and assess the benefits of delaying the earliest access age for pension benefits, in line with successful international models.
Provincial governments should adopt targeted policies to support older workers, such as promoting flexible work arrangements, part-time career opportunities, and self-employment options, particularly in regions like the Atlantic provinces, where senior participation is notably low.
All levels of government should invest in high-quality training programs that equip individuals with the skills needed for the evolving labour market, such as digital skills and job search strategies, with a focus on underrepresented groups like seniors, Indigenous Peoples, and youth.
Provinces and regulatory bodies should collaborate to streamline the licensing process for skilled immigrants, enabling foreign-trained professionals to meet local regulatory requirements more efficiently. They should also work together to ease labour mobility in regulated occupations, ensuring that qualifications are recognized across regions without compromising service quality.
The federal government should invest in enhancing settlement strategies for immigrants, including providing language training tailored to workplace culture. It is also important to evaluate the effectiveness of existing programs to ensure they adequately support newcomers’ integration into the workforce.
Employers, in collaboration with governments, should integrate automation and advanced technologies such as AI to boost productivity while ensuring that workers’ skills align with the evolving demands of the economy.
By implementing these policies, Canada can better navigate labour market imbalances, enhance its labour force participation, and position itself for sustainable economic growth in the face of demographic and technological change.
The authors extend gratitude to Pierre Fortin, Mikal Skuterud, Steven Tobin, William B.P. Robson, Rosalie Wyonch, and several anonymous referees for valuable comments and suggestions. The authors retain responsibility for any errors and the views expressed.
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The Global Cooperation Barometer indicates that international cooperation has “flatlined”, driven by heightened geopolitical tensions and instability, but positive momentum in climate finance, health and innovation offers hope. In an era of heightened volatility, leaders will need to embrace “disordered” cooperation and dynamic, solutions-driven decision-making to deliver tangible results and build trust. AI and other emerging technologies are reshaping the global landscape and driving upheaval. Concerted cooperation will be critical to harness benefits and minimize risks.
Geneva, Switzerland, January 2025 – The World Economic Forum’s Global Cooperation Barometer offers a critical assessment of the state of global cooperation, showing a world grappling with heightened competition and conflict, while also identifying various areas where leaders can drive progress through innovative collaboration. Released amid geopolitical, technological and sociopolitical upheaval, the Forum’s flagship annual report underscores the urgency of addressing shared challenges and offers leaders guidance on what cooperation can look like in a shifting world.
The Global Cooperation Barometer 2025, developed in collaboration with McKinsey & Company, uses 41 indicators to measure the current state of global cooperation. The aim is to offer leaders a tool to better understand the contours of cooperation broadly and along five pillars: trade and capital flows, innovation and technology, climate and natural capital, health and wellness, and peace and security. Now in its second edition, the Barometer draws on new data to provide an updated picture of the global cooperation landscape, with a particular focus on the impact of the new technological age.
“The Barometer is being released at a moment of great global instability and at a time when many new governments are developing agendas for the year, and their terms, ahead,” said Børge Brende, President and CEO of the World Economic Forum. “What the Barometer shows is that cooperation is not only essential to address crucial economic, environmental and technological challenges, it is possible within today’s more turbulent context.”
“This second edition of the Global Cooperation Barometer focuses on where cooperation stands today and what it can look like in the new technological age,” said Bob Sternfels, Global Managing Partner, McKinsey & Company. “Advancing global innovation, health, prosperity and resilience cannot be done alone. Leaders will need new mechanisms for working together on key priorities, even as they disagree on others, and the past several years have shown this balance is possible.”
The latest edition of the Barometer highlights that global cooperation is at a critical juncture. The report’s analysis reveals that after trending positively for a decade and surpassing pre-pandemic levels, overall cooperation has stagnated.
This has been driven by a sharp decline of the peace and security pillar of the Barometer over the past seven years, caused by mounting geopolitical tensions and competition which have significantly eroded global collective security. Levels of conflict and attendant humanitarian crises have increased in the past year to record levels, driven by crises including, but not limited to, the Middle East, Ukraine and Sudan.
As the largely stable cooperative order that defined the post-Cold War period is giving way to a more fragmented landscape, solutions to pressing challenges – from climate action to technological governance – require collaboration. And despite the global security crises, the new findings indicate that collaboration has continued in various areas including vaccine distribution, scientific research, renewable energy development, and more – offering models for future cooperation.
Notably, peace and security have declined sharply in recent years, but other pillars of the Barometer have remained resilient and reveal emerging opportunities for international cooperation,
Innovation and technology. While geopolitical competition is rising in regard to certain frontier technologies such as semiconductors, overall global cooperation on technology and innovation advanced in 2023, in part due to digitization of the global economy. This helped drive the adoption of new technologies, a strong ramp-up in the supply of critical minerals – and a related drop in price of lithium batteries – and a rebound in student mobility. However, rapid disruption from emerging technologies such as AI is reshaping the global landscape, raising the possibility of a new frontline of geostrategic competition or even an “AI arms race”. Cooperative leadership and inclusive strategies will be key to harness its vast potential while tackling risks.
Climate and natural capital: Cooperation on climate goals improved over the past year, with increased finance flows and higher trade in low-carbon technologies such as solar, wind and electric vehicles. Yet, urgent action is required to meet net-zero targets as global emissions continue to rise. Greater global cooperation will be essential to scale up technologies and secure the financing needed to meet climate goals by 2030.
Health and wellness: Some health outcomes, including life expectancy, continued to improve post-pandemic, but overall progress is slowing compared to pre-2020. While cross-border assistance and pharmaceutical R&D have declined, and cooperation on trade in health goods and international regulations stalled, various health metrics including child and maternal mortality remain strong. Given rising health risks and ageing populations, leaders should invest in global cooperation to bolster public health and sustainable health systems.
Trade and capital flows: Metrics related to the flow of goods and services, trade, capital and people had mixed outcomes in 2023. Goods trade declined by 5%, driven largely by slower growth in China and other developing economies, while global fragmentation continued to reduce trade between Western and Eastern-aligned blocs. Despite this, global flows of services, capital and people showed resilience. Foreign direct investment surged, particularly in strategic sectors like semiconductors and green energy, while labour migration and remittances rebounded strongly, surpassing pre-pandemic levels.Looking ahead, leaders will need to find ways to work together, even as competition increases, as tangible results will be crucial to maintain public trust and support. The report concludes by underscoring the urgent need for adaptive, solutions-driven leadership to navigate a turbulent global landscape. By pivoting towards cooperative solutions, leaders can rebuild trust, drive meaningful change and unlock new opportunities for shared progress and resilience in the complex years ahead.
About the Global Cooperation Barometer Methodology
The Global Cooperation Barometer – first launched in 2024 – evaluates global collaboration across five interconnected dimensions: trade and capital, innovation and technology, climate and natural capital, health and wellness, and peace and security. The Barometer is built on 41 indicators, categorized as cooperative action metrics (evidence of tangible cooperation, such as trade volumes, capital flows, or intellectual property exchanges) and outcome metrics (broader measures of progress like reductions in greenhouse gas emissions or improvements in life expectancy). Spanning 2012–2023 and indexed to 2020 to reflect pandemic-era shifts, the Barometer normalizes data for comparability (e.g., financial metrics relative to global GDP and migration metrics to population levels) and weights it equally within and across pillars.
About the Annual Meeting 2025
The World Economic Forum Annual Meeting 2025, taking place in Davos-Klosters from 20 to 24 January, convenes global leaders under the theme, Collaboration for the Intelligent Age. The meeting will foster new partnerships and insights to shape a more sustainable, inclusive future in an era of rapidly advancing technology, focusing on five key areas: Reimagining Growth, Industries in the Intelligent Age, Investing in People, Safeguarding the Planet, and Rebuilding Trust. Click here to learn more.
The rise of AI is truly remarkable. It is transforming the way we work, live, and interact with each other, and with so many other touchpoints of our lives. However, while AI aggregates, dyslexic thinking skills innovate. If used in the right way, AI could be the perfect co-pilot for dyslexics to really move the world forward. In light of this, Virgin and Made By Dyslexia have launched a brilliant campaign to show what is possible if AI and dyslexic thinking come together. The film below says it all.
As the film shows, AI can’t replace the soft skills that index high in dyslexics – such as innovating, lateral thinking, complex problem solving, and communicating.
If you ask AI for advice on how to scale a brand that has a record company – it offers valuable insights, but the solution lacks creative instinct and spontaneous decision making. If I hadn’t relied on my intuition, lateral thinking and willingness to take a risk, I would have never jumped from scaling a record company to launching an airline – which was a move that scaled Virgin into the brand it is today.
Together, dyslexic thinkers and AI are an unstoppable force, so it’s great to see that 72% of dyslexics see AI tools (like ChatGPT) as a vital starting point for their projects and ideas – according to new research by Made By Dyslexia and Randstad Enterprise. With help from AI, dyslexics have limitless power to change the world, but we need everyone to welcome our dyslexic minds. If businesses fail to do this, they risk being left behind. As the Value of Dyslexia report highlighted, dyslexic skillsets will mirror the World Economic Forum’s future skills needs by end of this year (2025). Given the speed at which technology and AI have progressed, this cross-over has arrived two years earlier than predicted.
Image: Sarah Rogers/MITTR
With all of this in mind, it’s concerning to see a big difference between how HR departments think they understand and support dyslexia in the workplace, versus the experience of dyslexic people themselves.
The new research also shows that 66% of HR professionals believe they have support structures in place for dyslexia, yet only 16% of dyslexics feel supported in the workplace. It’s even sadder to see that only 14% of dyslexic employees believe their workplace understands the value of dyslexic thinking. There is clearly work to be done here.
To empower dyslexic thinking in the workplace (which has the two-fold benefit of bringing out the best in your people and in your business), you need to understand dyslexic thinking skills. To help with this, Made By Dyslexia is launching a workplace training course later this year on LinkedIn Learning – and you can sign up for it now. The course will be free to access, and I’m delighted that Virgin companies from all across the world have signed up for it – from Virgin Australia, to Virgin Active Singapore, to Virgin Plus Canada and Virgin Voyages. It’s such an insightful course, designed by experts at Made By Dyslexia to educate people on how to understand, support, and empower dyslexic thinking in the workplace, and make sure businesses are ready for the future.
It’s always inspiring to see how Made By Dyslexia empowers dyslexics, and shows the world the limitless power of dyslexic thinking. If businesses can harness this power, and if dyslexics can harness the power of AI – we can really drive the future forward. Richard Branson, Founder at Virgin Group.
As the automotive industry evolves at a rapid-fire pace, trust in autonomous driving vehicles remains a critical challenge amid pervasive reliability concerns. Addressing this substantial industry pain point is automotive AI technology disruptor Autobrains Technologies. Its game-changing “Liquid AI” innovation—combining AI-assisted driving with its Autonomous Driving capabilities—directly addresses such marketplace reliability concerns, setting new standards for autonomous driving in the process.
“The safety debate surrounding AVs is more relevant than ever,” notes Autobrains Founder and CEO Igal Raichelgauz. “While AVs promise to reduce traffic fatalities by eliminating human error such as distracted driving, there are still significant reliability concerns for both manufacturers and drivers. The ongoing dialogue around AVs is critical, and we’re not only at the forefront of these discussions, but also advancing AI that prioritizes driverless car safety. We believe our Liquid AI technology offers a paradigm shift by mimicking human cognitive processes, thereby improving the system’s adaptability and decision-making in real-time. The automotive industry stands at a crossroad. We are proud to lead this charge, setting new standards for what AI in driving can achieve.”
Driving Change
Autobrains’ revolutionary Liquid AI technology enhances situational awareness and decision-making, providing a safer and more reliable driving experience. As AI continues to evolve, these advancements are crucial in building trust and adoption among drivers and manufacturers, alike. Combining AI-assisted driving with its Autonomous Driving capabilities, Liquid AI enhances situational awareness and decision-making, providing a safer and more reliable driving experience, which is crucial in building trust and adoption among both drivers and manufacturers. As AI continues to be integrated into vehicles, the question of generating trust becomes paramount.
“The reliability of Autonomous Driving has been a significant concern for both manufacturers and drivers,” said Raichelgauz. “We believe that our Liquid AI technology offers a paradigm shift by mimicking human cognitive processes, thereby improving the system’s adaptability and decision-making in real-time. Traditional AI, with its narrow focus, often falls short when faced with the unpredictable nature of real-world driving. Liquid AI, however, marks a significant departure from this approach. By incorporating principles of human cognition, it learns and adapts in real-time, ensuring that our driving systems are predictable and optimized for any real-world driving scenario.”
There are several key factors that differentiate Liquid AI from traditional AI systems. These include:
Robust Edge Case Handling: Effectively addresses the long tail of edge cases that traditional AI systems struggle with.
Human-Like Cognitive Processing: Mimics human decision-making, allowing for better handling of unpredictable real-world conditions.
Efficient Resource Utilization: Lower computational power requirements make it scalable across various vehicle models without compromising performance.
Real-Time Learning: Liquid AI adapts in real-time to new driving scenarios, ensuring higher accuracy and fewer false positives.
With a background in AI innovation spanning multiple disciplines, Raichelgauz is a distinguished technology executive who has co-founded several successful businesses, including Cortica—a company renowned for its self-learning technology in visual perception. Under his leadership, the Autobrains Liquid AI technology is now driving consequential change in the automotive industry by resolving autonomous vehicle reliability.
“The automotive industry stands at a crossroad,” Raichelgauz continued. “As we continue to integrate AI into our vehicles, the question of generating trust becomes paramount. Traditional AI, with its narrow focus, often falls short when faced with the unpredictable nature of real-world driving. Liquid AI, however, marks a significant departure from this approach. By incorporating principles of human cognition, it learns and adapts in real-time, ensuring that our driving systems are predictable and optimized for any real-world driving scenario. At Autobrains, we are proud to lead this charge, setting new standards for what AI in driving can achieve.” For the Silo, Merilee Kern.
This Article is 95.6% Made by Human / 4.4% by Artificial Intelligence
One of the most concerning uncertainties surrounding the emergence of artificial intelligence is the impact on human jobs.
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Let us start with a specific example – the customer support specialist. This is a human-facing role. The primary objective of a Customer Support Specialist is to ensure customer satisfaction.
The Gradual Extinction of Customer Support Roles
Within the past decade or so, several milestone transformations have influenced the decline of customer support specialists. Automated responses for customer support telephone lines. Globalization. And chat-bots.
Chat-bots evolved with the human input of information to service clients. SaaS-based products soon engineered fancy pop-ups for everyone. Just look at Uber if you want a solid case-study – getting through to a person is like trying to contact the King of Thailand.
The introduction of new artificial intelligence for customer support solutions will make chat-bots look like an AM/FM frequency radio at the antique market.
The Raging Battle: A Salute to Those on the Front Lines
There are a handful of professions waging a battle against the ominous presence of artificial intelligence. This is a new frontier – not only for technology, but for legal precedent and our appetite for consumption.
OpenAI is serving our appetite in two fundamental ways: text-based content (i.e. ChatGPT) and visual-based content (i.e. DALL·E). How we consume this content boils down to our own taste-buds, perceptions and individual needs. It is all very human-driven, and it is our degrees of palpable fulfillment that will ultimately dictate how far this penetrates the fate of other professions.
Sarah Silverman, writer, comedian and actress sued the ChatGPT developer OpenAI and Mark Zuckerberg’s Meta for copyright infringement.
We need a way to leave a human mark. Literally, a Made by Human insignia that traces origins of our labor, like certifying products as “organic”.
If we’re building the weapon that threatens our very livelihood, we can engineer the solution that safeguards it.
The Ouroboros Effect
If we seek retribution for labor and the preservation of human work, we need to remain ahead of innovation. There are several action-items that may safeguard human interests:
Consolidation of Interest. Concentration of efforts within formal structures or establish new ones tailored to this subject;
Litigation. Swift legal action based on existing laws to remedy breaches and establish legal precedents for future litigation;
Technological Innovation. Cutting-edge technology that: (a) engineers firewalls for preventing AI scraping technologies; (b) analyzes human work products; and (c) permits tracking of intellectual property.
Regulatory Oversight. Formation of a robust framework for monitoring, enforcing and balancing critical issues arising from artificial intelligence. United Nations, but without the thick, glacial layers of bureaucracy.
These front-line professionals are just the first wave – yet if this front falls, it will be a fatal blow to intellectual property rights. We will have denied ourselves the ideological shields and weapons needed to preserve and protect origins of human creativity.
At present, the influence of artificial intelligence on labor markets is in our own hands. If you think this is circular reasoning, like some ouroboros, you would be correct. The very nature of artificial intelligence relies on humans.
Ouroboros expresses the unity of all things, material and spiritual, which never disappear but perpetually change form in an eternal cycle of destruction and re-creation.
Equitable Remuneration
Human productivity will continue to blend with artificial intelligence. We need to account for what is of human origin versus what has been interwoven with artificial intelligence. Like royalties for streaming music, with the notes of your original melody plucked-out. Even if it’s mashed-up, Mixed by Berry and sold overseas.
These are complex quantum-powered algorithms. The technology exists. It is along the same lines of code that is empowering artificial intelligence. Consider a brief example:
A 16-year old boy named Olu decides to write a book about growing-up in a war torn nation.
✅Congratulations on your work, Olu!
47.893% Human / 52.107% Artificial
Meanwhile, back in London, a 57-year old historian named Elizabeth receives an email:
✅Congratulations Elizabeth, your work has been recycled!
34.546% of your writing on the civil war torn nation has been used in an upcoming book publication. Click here to learn more.
We need a framework that preserves and protects sweat-of-the-brow labor.
As those on the front-line know: Progress begets progress while flying under the banner of innovation. If we’re going to spill blood to save our income streams – from content writers and hand models to lawyers and software engineers – the fruit of our labor cannot be genetically modified without equitable remuneration.
Retail is on the precipice of a renaissance, which will be characterized by great advancement and economic rebirth.
To get there, businesses need to start by acknowledging that no matter where they operate in the world there is a pressing need to exercise commercial discipline. And a recognition that the metrics of yesterday’s retail will not fuel the growth of tomorrow. However, this non-negotiable commercial pragmatism must be balanced with an appreciation that while exciting technology innovation still dominates C-suite and elevator conversations, the next big evolution is an imminent renaissance of hyper-experiential retail.
The Commerce Department in the US announced that consumer spending rose in February by its biggest margin in a year, while in the UK inflation was at its lowest level in two years as retailers compete for customers, here in Canada RBC reports that “consumer spending data marked a stronger start to Q2 than we expected. But one month does not make a trend. We are cautiously optimistic that consumer activity will improve this year- as adjustment to higher rates hits households less hard in 2024.”. However, whether conditions are favorable or challenging, brands simply must perform, and perform well, in an environment where there are more competitors than ever before.
Beyond this, consumers can easily be described as fickle
For example, if they are not happy with one experience they’ll move on and there are dozens, hundreds, and if we think globally, thousands of other brands waiting in line to capitalize on their spend. While many consumers are traveling far and wide to experience the best from all around the world, TV and content across platforms is resetting what consumers want, need, and expect from brands by exposing them to new lifestyles and ways of living.
An example of how this brand we all know is re-inventing how customers experience their products…..museum exhibition style!
Retail dominated at CES earlier this year, and almost all conversations revolved around artificial intelligence (AI) technology to drive seamless and frictionless retail, personalization, and much more. Technology is enabling user experience that wouldn’t have been imagined a decade ago. However, rather than being seen as an end, technology should be understood as the means for giving consumers what they want.
The NRF’s Retail’s Big Show this year showcased the best of technology, yet some key themes to emerge were that customer interaction in-store is as imperative as the transaction and that Generation Alpha, while not yet capable of earning money, has immense influence on their parents who do. While these true digital natives are technologically adept, they value in-store and physical experiences. Do not for a second underestimate their influence on their parents.
Gen Z, the first generation to have had a smartphone their entire lives, are also known to be digitally savvy.
While generalizations across entire generations are never helpful, it is widely agreed that this cohort researches brands and products online but – and here’s a surprise to those focusing only on technology – according to global management consulting firm Kearney, 81% of Gen Z prefers to shop in stores, while more than half of them do so because they say it helps them disconnect from the digital world.
All the signs are there for retailers willing to see them. Our two youngest generations are telling us what they want. What does this look like in practice? Amazon launched its Just Walk Out technology a mere six years ago, accompanied by hyper-advanced ceiling-mounted cameras, shelf sensors and algorithms. Amazon has announced it is removing the technology because it alienated shoppers who felt that a trip to the grocery store felt like they were stepping into a high-tech vending machine. This speaks directly to what consumers want from an in-store experience.
Retail’s next big opportunity is hyper-experiential retail, and we are at the precipice of this explosion of customer experience driving consumer choice and loyalty because of a confluence of a few big forces at play.
Shifting of the tectonic plates
The first is technology, which is enabling innovative and effective experiential retail. Another is that as the pandemic fades into memory, people want to be out, they want to spend moments with other people outside of their homes. According to insights from Canvas8 looking into what they call experience hunters, 58% of consumers believe that immersive experiences will influence their next purchase. In other words, six out of ten people place a high value on how retail makes them feel.
Artificial Intelligence will be used to supplement customers shopping experiences.
The third is that there is no longer a clear line between where retail starts and where it ends. Almost everything is a retail experience now, no matter if you’re at an airport, a fuel station, or commuting – retail is everywhere, meaning there are hundreds of different competition points for retailers across millions of different journeys. The last big force is that e-commerce has slipped into a holding pattern. Effective, efficient, and convenient, but boring and predictable. Influencers have taken over product choice even leading the conversations on behalf of brands. But consumers want more fun, they are seeking discovery – the magic of retail past.
This all has very real permutations for brands that have built their market presence on legacy retail experiences. They need to innovate quickly to keep up with pioneers who will keep raising the bar of experiential shopping. In addition to this they will be competing directly with startup brands and businesses that were direct-to-consumer, but are moving into the realm of retail experience without the baggage of the past. This area alone will likely see exponential growth in the next few years.
From purpose to experience
Defining brand purpose has been front and center for a number of years, which is right because purpose is foundational. However, purpose doesn’t tell you everything about how a customer will experience a brand. In light of this, brands will be challenged to define how their brand is experienced across all dimensions. In other words, not just their voice, not just the words that they’re using or their personality and identity, but how they’re physically coming to life, how they’re meeting customers at the important moments across the retail journey and creating value, intrigue, excitement, attraction, and desire.
This type of discovery is crucial for brands to drive longer-term loyalty in a hyper-competitive landscape. It starts with dimensionalizing the brand, in other words thinking about how it should look, feel, sound, smell, and taste – this is the cornerstone of an experience vision. Once a brand has done this it needs to be precise in how it chooses the moments where it wants to explode into life for consumers. Much of this precision will come from a deep understanding of consumer insights and experience barriers and how to overcome them, but also from creativity, imagination and innovation – a true path to differentiation.
Agencies and consultants need to help retailers by mapping out a diagnostic journey of consumers. This enables brands to understand a consumer’s entire journey, not just within an experience, but within the moments and choices leading up to an experience. How do they make choices, what drives them, what motivates them, what distracts or pushes them away from brands? When do they make these choices?
The best technology can aggregate multiple data sources to help diagnose brand issues as well as predict where and why brands are losing consumers along their journeys. It is important for retailers to find answers about where they are not maximizing consumer desire in key moments. However, landing on the right answers requires asking the right questions.
The seeds to these questions were planted at CES earlier this year, when some of the biggest retailers and tech giants in the world made it abundantly clear that their vision of sustainable, long-term growth lay in marrying technology with humanity, signaling a return to appreciating the value of humans and how we feel. We all know what experiential retail is, and the world is awash with various case studies of highly successful campaigns. Expect this to turn up a notch to become hyper-experiential. Especially that according to Canvas8, quoting Unibail-Rodamco-Westfield, 8 in 10 people globally are willing to pay more for elevated shopping experiences.
Genuine human connection and personal interactions are going to drive retail growth, innovation, and brand loyalty this year and beyond. Brands need a plan to thrive in this renaissance of hyper-experiential retail. The rules of the past aren’t going to work in the new era of modern retailing where consumers are telling us what they want, we just need to listen, see around the corner and bravely walk through the door. For the Silo, Rhonda Hiatt
Rhonda is the global CEO at Clear, part of M&C Saatchi. Featured image: Galleria Vittorio Emanuele in Milan Italy- using historic storefronts and buildings in newly realized enclosed mall retail spaces.
82% of chief economists expect the global economy to remain stable or strengthen this year – almost twice as many as in late 2023 Over two-thirds predict a sustained rebound of global growth, driven by technological transformation, artificial intelligence and the green transition. There is near-unanimity that geopolitics and domestic politics will drive economic volatility this year. Read the May 2024 Chief Economist Outlook here
Geneva, Switzerland,May 2024 – The latest Chief Economists Outlook released today presents a growing sense of cautious optimism about the global economy in 2024. More than eight in ten chief economists expect the global economy to either strengthen or remain stable this year – nearly double the proportion in the previous report. The share of those predicting a downturn in global conditions declined from 56% in January to 17%.
But geopolitical and domestic political tensions cloud the horizon. Some 97% of respondents anticipate that geopolitics will contribute to global economic volatility this year. A further 83% said domestic politics will be a source of volatility in 2024, a year when nearly half the world’s population is voting.
“The latest Chief Economists Outlook points to welcome but tentative signs of improvement in the global economic climate,” said Saadia Zahidi, Managing Director, World Economic Forum. “This underscores the increasingly complex landscape that leaders are navigating. There is an urgent need for policy-making that not only looks to revive the engines of the global economy but also seeks to put in place the foundations of more inclusive, sustainable and resilient growth.”
Regional variations
Growth expectations have improved, though unevenly, across the globe. The survey reveals a significant boost in the outlook for the United States, where nearly all chief economists (97%) now expect moderate to strong growth this year, up from 59% in January.
Asian economies also appear robust, with all respondents projecting at least moderate growth in the South Asia and East Asia and Pacific regions. Expectations for China are slightly less optimistic, with three-quarters expecting moderate growth and only 4% predicting strong growth this year.
By contrast, the outlook for Europe remains gloomy, with nearly 70% of economists predicting weak growth for the remainder of 2024. Other regions are expected to experience broadly moderate growth, with a slight improvement since the previous survey.
A challenging landscape for decision-makers
The latest survey highlights the escalating challenges confronting businesses and policy-makers. Tensions between political and economic dynamics will be a growing challenge for decision-makers this year, according to 86% of respondents, while 79% expect heightened complexity to weigh on decision-making.
Among the factors expected to affect corporate decision-making are the overall health of the global economy (cited by 100%), monetary policy (86%), financial markets (86%), labour market conditions (79%), geopolitics (86%) and domestic politics (71%). Notably, 73% of economists believe that companies’ growth objectives will drive decision-making, almost double the proportion that cited the role of companies’ environmental and social goals (37%).
Long-term prospects and priorities
Most chief economists are upbeat about the prospects for a sustained rebound in global growth, with nearly 70% expecting a return to 4% growth in the next five years (42% within three years). In high-income countries, they expect growth to be driven by technological transformation, artificial intelligence, and the green and energy transition. However, opinions are divided on the impact of these factors in low-income economies. There is greater consensus on the factors that will be a drag on growth, with geopolitics, domestic politics, debt levels, climate change and social polarization expected to dampen growth in both high- and low-income economies.
In terms of the policy levers most likely to foster growth in the next five years, the most important across the board are innovation, infrastructure development, monetary policy, and education and skills. Low-income economies are seen as having more to gain from interventions relating to institutions, social services and access to finance compared to high-income economies. There is a notable lack of consensus on the impact for growth of environmental and industrial policies.
About the Chief Economists Outlook Report The Chief Economists Outlook builds on the latest policy development research as well as consultations and surveys with leading chief economists from both the public and private sectors, organized by the World Economic Forum’s Centre for the New Economy and Society. It aims to summarize the emerging contours of the current economic environment and identify priorities for further action by policy-makers and business leaders in response to the compounding shocks to the global economy. The survey featured in this briefing was conducted in April 2024.
The Chief Economists Outlook supports the World Economic Forum’s Future of Growth Initiative, a two-year campaign aimed at inspiring discussion and action on charting new pathways for economic growth and supporting policy-makers in balancing growth, innovation, inclusion, sustainability and resilience goals. Learn more about the Future of Growth Initiativehere.
The World Economic Forum, committed to improving the state of the world, is the International Organization for Public-Private Cooperation. The Forum engages the foremost political, business and other leaders of society to shape global, regional and industry agendas. (www.weforum.org).
Developing countries (in terms of their income economies) such as Africa are also seeing gains.
High-income economies in Europe and Asia-Pacific continue to lead the World Economic Forum Travel and Tourism Index, with the United States, Spain and Japan topping the rankings again. Despite post-pandemic growth, the global tourism sector still faces complex challenges, with recovery varied by region; only marginal overall score improvements since the 2021 edition. Developing economies are making strides – who account for 52 out of 71 economies improving since 2019 – but significant investment is needed to bridge gaps and increase market share.
New York, USA, May 2024 – International tourist arrivals and the travel and tourism sector’s contribution to global GDP are expected to return to pre-pandemic levels this year, driven by the lifting of COVID-19-related travel restrictions and strong pent-up demand, as per the new World Economic Forum travel and tourism study, released today.
Topping the 2024 list of economies are the United States, Spain, Japan, France and Australia. The Middle East had the highest recovery rates in international tourist arrivals (20% above the 2019 level), while Europe, Africa and the Americas all showed a strong recovery of around 90% in 2023.
These are some of the top findings of the Travel & Tourism Development Index 2024 (TTDI), a biennial report published in collaboration with the University of Surrey, which analyses the travel and tourism sectors of 119 countries around a range of factors and policies.
“This year marks a turning point for the travel and tourism sector, which we know has the capacity to unlock growth and serve communities through economic and social transformation,” said Francisco Betti, Head of the Global Industries team at the World Economic Forum. “The TTDI offers a forward-looking window into the current and future state of travel and tourism for leaders to navigate the latest trends in this complex sector and sustainably unlock its potential for communities and countries across the world.”
Post-pandemic recovery The global tourism industry is expected to recover from the lows of the COVID-19 pandemic and surpass the levels seen before the crisis. This is largely being driven by a significant increase in demand worldwide, which has coincided with more available flights, better international openness, and increased interest and investment in natural and cultural attractions.
However, the global recovery has been mixed. While 71 of the 119 ranked economies increased their scores since 2019, the average index score is just 0.7% above pre-pandemic levels.
Although the sector has moved past the shock of the global health crisis, it continues to deal with other external challenges, from growing macroeconomic, geopolitical and environmental risks, to increased scrutiny of its sustainability practices and the impact of new digital technologies, such as big data and artificial intelligence. In addition, labour shortages are ongoing, and air route capacity, capital investment, productivity and other sector supply factors have not kept up with the increase in demand. This imbalance, worsened by global inflation, has increased prices and service issues.
TTDI 2024 highlights Out of the top 30 index scorers in 2024, 26 are high-income economies, 19 are based in Europe, seven are in Asia-Pacific, three are in the Americas and one (the United Arab Emirates) is in the Middle East and North Africa region (MENA). The top 10 countries in the 2024 edition are the United States, Spain, Japan, France, Australia, Germany, the United Kingdom, China, Italy and Switzerland.
The results highlight that high-income economies generally continue to have more favourable conditions for travel and tourism development. This is helped by conducive business environments, dynamic labour markets, open travel policies, strong transport and tourism infrastructure, and well-developed natural, cultural and non-leisure attractions.
Nevertheless, developing countries have seen some of the greatest improvements in recent years. Among the upper-middle-income economies, China has cemented its ranking in the top 10; major emerging travel and tourism destinations of Indonesia, Brazil and Türkiye have joined China in the top quartile of the rankings. More broadly, low- to upper-middle-income economies account for over 70% of countries that have improved their scores since 2019, while MENA and sub-Saharan Africa are among the most improved regions. Saudi Arabia and the UAE are the only high-income economies to rank among the top 10 most improved economies between 2019 and 2024.
Despite these strides, the TTDI warns that significant investment is needed to close gaps in enabling conditions and market share between developing and high-income countries. One possible pathway to help achieve this would be sustainably leveraging natural and cultural assets – which are less correlated with country income level than other factors – and can offer developing economies an opportunity for tourism-led economic development.
“It’s essential to bridge the divide between differing economies’ ability to build a strong environment for their travel and tourism sector to thrive,” said Iis Tussyadiah, Professor and Head of the School of Hospitality and Tourism Management at the University of Surrey. “The sector has big potential to foster prosperity and mitigate global risks, but that potential can only be fully realized through a strategic and inclusive approach.” Mitigating future global challenges According to the World Economic Forum’s 2024 Global Risks Report, the travel and tourism sector faces various complex risks, including geopolitical uncertainties, economic fluctuations, inflation and extreme weather. Balancing growth with sustainability also remains a major problem, due to high seasonality, overcrowding, and a likely return of pre-pandemic emissions levels. The report also analyses persistent concerns about equity and inclusion. While the tourism sector offers a major source of relatively high-wage jobs, particularly in developing countries, gender parity remains a major issue for regions such as MENA and South Asia.
Despite these challenges, the sector can play a significant role in addressing them. To achieve this, decision-makers should prioritize actions such as leveraging tourism for nature conservation efforts; investing in skilled, inclusive and resilient workforces; strategically managing visitor behaviour and infrastructure development; encouraging cultural exchange between visitors and local communities; and using the sector to bridge the digital divide, among other policies.
If managed strategically, the travel and tourism sector – which has historically represented 10% of global GDP and employment – has the potential to emerge as a key contributor to the well-being and prosperity of communities worldwide.
About the Travel and Tourism Development Index 2024 The 2024 edition of the TTDI includes several improvements based on newly available data and recently developed indicators on the environmental and social impact of travel and tourism. The changes made to the 2024 Index limit its comparability to the previously published TTDI 2021. This year’s report includes recalculated 2019 and 2021 results, using new adjustments. TTDI 2024 reflects the latest available data at the time of collection – end of 2023. The TTDI is part of the Forum’s broader work with industry communities actively working to build a better future enabled by sustainable, inclusive, and resilient industry ecosystems.
One year ago- The pandemic had all but decimated the tourism industry in South Africa
A press photographer works next to the logo of the World Economic Forum (WEF) at the opening of their annual meeting in Davos on Jan. 15, 2024. (Fabrice Coffrini/AFP via Getty Images)
Close interactions between Canadian cabinet ministers and the World Economic Forum are well-documented, but a newly revealed letter suggests forum staff may have been doing more work with the federal government than previously disclosed.
In an undated letter to a WEF official, former Finance Minister Bill Morneau praised the organization and its collaboration to achieve “common” objectives.
“I would also like to take this opportunity to express my sincere appreciation to the WEF staff, for the support provided to the Government of Canada,” wrote Mr. Morneau in the letter obtained through the access-to-information regime.
Neither the WEF nor the Canadian government typically advertise what support the forum provides. The finance department has not replied to a request for information about the date of the letter and details of how WEF staff helped the government.
The letter was addressed to Philipp Rösler, a former German politician who served as a WEF manager and head of its Centre for Regional Strategies.
The federal government is known to have been involved in at least two WEF policy initiatives: the Known Traveller Digital Identification (KTDI) project and the Agile Nations network.
KTDI was a pilot project between Canada, the Netherlands, and private sector interests to develop a system of digital credentials for airplane travel between countries. Agile Nations is a group of countries working to streamline regulations to usher in the WEF-promoted “Fourth Industrial Revolution” that includes gene editing and artificial intelligence.
KTDI began in 2018, and Canada signed onto Agile Nations in November 2020, a few months after Mr. Morneau resigned during the WeCharity scandal. Both projects were worked on while Mr. Morneau was finance minister from 2015 to 2020.
Since both these projects fell outside of Mr. Morneau’s portfolio as finance minister, it seems to suggest that his letter of appreciation to the WEF was referring to other joint collaborations.
Canada’s then-minister of Finance Bill Morneau speaks to the Canadian Club of Canada in Toronto, on March 6, 2020. (Cole Burston/The Canadian Press)
The WEF’s mission statement says it is dedicated to “improving the state of the world.” It gathers leaders in the fields of politics, business, and activism to promote progressive policies on issues like climate change and making capitalism more “inclusive.” As is routine with the organization, it did not respond to requests for comment.
Critics of the WEF, which gathers world elites to shape global policies, often disagree with its progressive agenda and warn about its influence on countries.
“No staff, no ministers, no MPs in my caucus will be involved whatsoever in that organization,” Conservative Party Leader Pierre Poilievre said in January.
He added that officials who attend the forum’s annual meeting in Davos are “high flying, high tax, high carbon hypocrites” who travel in private jets while telling average citizens not to “heat their homes or drive their pickup trucks.”
Alberta Premier Danielle Smith has also criticized the WEF, saying in 2022 she finds it “distasteful when billionaires brag about how much control they have over political leaders, as the head of that organization has.”
Ms. Smith was likely referring to comments made by WEF founder and chairman Klaus Schwab in 2017, when he said said he was “very proud” to “penetrate the cabinets” of world governments, including that of Prime Minister Justin Trudeau.
“I know that half of his cabinet or even more than half of his cabinet are actually Young Global Leaders of the World Economic Forum,” Mr. Schwab told an audience at Harvard University.
WEF founder Klaus Schwab delivers a speech during the “Crystal Award” ceremony at the World Economic Forum annual meeting in Davos, on Jan. 16, 2023. (Fabrice Coffrini/AFP via Getty Images)
Davos Links
Mr. Morneau’s letter to the WEF comes from internal Finance Department records and is the only document in the release package that pertains to Mr. Morneau. It consists mostly of praise for the organization.
“As a Steward of Economic Growth and Social Inclusion, I have had the privilege of observing first-hand and benefiting from the WEF’s important contributions to foster public and private collaboration towards developing concrete solutions for strong, broad-based economic growth,” he wrote, adding that WEF analysis of different topics such as “structural reform priorities” was “helpful to develop substantive policy measures.”
He wrote that “as we enter another ambitious year for the WEF, I look forward to a continued fruitful collaboration to pursue our common objective of achieving stronger, sustainable and more inclusive growth.”
Other department records relate to current Finance Minister Chrystia Freeland and her involvement with the WEF. She is a board member of the forum and also an alumnus of the Young Global Leaders program that Mr. Schwab referenced.
Mr. Morneau, who resigned as minister in 2020, is listed on the WEF website as an “agenda contributor“ and a ”digital member.” He was a regular participant at the group’s annual meetings in Davos, Switzerland, while he was in office.
During those years, the Finance Department’s media relations office wasn’t shy about advertising ministerial trips to Davos.
“Canada’s strong presence at the Forum underscores the importance of this meeting for shaping the international agenda and advancing economic opportunities for Canadians,” read a January 2020 press release from the department announcing Mr. Morneau’s trip.
The Finance Department has not returned inquiries in recent years pertaining to Ms. Freeland’s involvement with the WEF, nor has it issued press releases referencing her involvement.
Some have questioned whether Ms. Freeland’s role as deputy prime minister and finance minister as well as a forum board member constitutes a conflict of interest. The Office of the Conflict of Interest and Ethics Commissioner said in its 2022 annual report it received more than 1,000 requests in a two-month period from members of the public to investigate the participation of MPs and ministers in the WEF.
The office said the requests “did not provide sufficient information to warrant an investigation.” Ms. Freeland’s leadership position with the WEF has been declared to the office and has therefore been cleared.
The meeting and event planning industry is experiencing a significant transformation amid an era where the vintage charm of wine meets the cutting-edge sharpness of Artificial Intelligence (AI). This renaissance, characterized by a blend of tradition with technology, is reshaping the essence of event-driven wine selection, moving away from the notion that tech seeks to replace tradition. Instead, it introduces a paradigm of harmonious enhancement, where data-driven precision and the sommelier’s artistry converge, creating a personalized wine journey for every guest’s palate as detailed in the narrative below.
To discuss AI’s impact on the meeting and events industry, I would love to connect you with Angel or Arsalan Vossough, CEO and CTO of BetterAI, develooper of the “VinoVoss” AI Sommelier — a wine search engine and recommendation system revolutionizing the $39B usd/ $53B cad wine sector.
The days when the sommelier’s intuition, refined through years of experience and sensory development, solely guided wine selection are evolving. AI, with its vast collection of data and analytical capabilities, steps into the domain as a digital sommelier, marking a critical shift from purely tradition-led approaches. This integration signifies a future where wine recommendations are enhanced by data analytics, achieving a level of personalization and precision once thought impossible.
This shift from traditional expertise to technological innovation in wine selection is reflective of a broader transformation within event planning. AI’s role extends beyond wine selection, revolutionizing aspects from operational logistics to enhancing guest experiences. By leveraging predictive analytics, AI provides planners with deep insights into guest preferences, optimizes inventory management, and significantly cuts waste. This ability to personalize wine lists to the individual tastes of attendees, a feature once reserved for high-end, exclusive gatherings, is now accessible on a larger scale. This transition not only ensures that each wine selection deeply resonates with attendees’ unique preferences but also illustrates the industry’s wider adoption of innovation, prioritizing customization and quality in every aspect of event planning.
The AI-Driven Transformation in Wine Selection
Crafting Personalized Wine Journeys
At the heart of Artificial Intelligence (AI)’s transformative influence within the event planning sphere is its unparalleled ability in providing wine recommendations to align perfectly with individual preferences. This capability is not just about selection but about creating a narrative for each event that is as unique as the guests themselves. By meticulously analyzing vast datasets that include a wide range of variables—from individual guest tastes profile and detailed consumption patterns to the dynamic ups and downs of emerging wine trends—AI crafts wine selections that resonate deeply with the event’s demographic profile. Each recommendation is more than a suggestion; it’s a reflection of the event’s ethos, designed to enhance the dining experience profoundly.
Predictive Analytics: Looking into the Wine Future
Positioned at the forefront of wine selection, AI leverages the power of predictive analytics to cast a visionary gaze into the future of guest expectations and wine trends. This innovative approach advances traditional selection methods by empowering event planners with the ability to not just respond to current tastes but to anticipate and shape them. By using sophisticated algorithms, AI scans through historical data and current market analyses to predict which wines will captivate and delight attendees, opening the way for the introduction of emerging varietals and regions. This strategic approach allows for a level of exploration and discovery that enhances the event experience, inviting guests on a wine journey that is both educational and experiential.
Furthermore, the scope of predictive analytics in wine selection extends beyond individual choices to provide a broader understanding of global shifts in the wine industry. From climate change impacts on vineyard yields to innovations in winemaking techniques, AI’s predictive capabilities offer event planners a curated window into the wine world’s future. This comprehensive approach ensures that wine lists are not just reflective of contemporary tastes but are also forward-thinking, positioning events at the cutting edge of culinary innovation and offering guests a taste of the future, today. In doing so, AI doesn’t simply predict preferences; it helps define them, crafting personalized wine journeys that are as visionary as they are satisfying.
Operational Efficiency Through AI
Streamlining Inventory, Embracing Sustainability
In the world of event planning, the development of Artificial Intelligence (AI) has catalyzed a revolution in operational efficiency, particularly in the domain of inventory management. By utilizing AI’s advanced predictive capabilities, event planners can now make sure that wine orders are carefully aligned with the anticipated demand of each unique event. This precision in forecasting addresses one of the industry’s major challenges—excess inventory and waste—head-on. AI’s ability to analyze past event data, current consumption trends, and even guests’ preferences means that every bottle ordered has a purpose, significantly reducing the likelihood of surplus stock that contributes to waste.
This strategic reduction in waste not only demonstrates a commitment to environmental sustainability but also translates directly into notable cost savings for event organizers. By purchasing only what is needed, events can operate more leanly and efficiently, passing on the benefits of reduced costs to clients while also contributing positively to the planet. This dual advantage spotlights the pivotal role AI plays in driving forward an event planning paradigm that is both economically viable and ecologically responsible.
Moreover, AI’s analytical insights extend beyond just numbers, offering event planners guidance on selecting wines from vineyards and producers committed to sustainable practices. This approach enables events to not only offer of a curated wine selection that is exceptional and environmentally friendly but also aligns with the growing societal demand for responsible consumption. By aligning wine selections with sustainable practices, AI allows event planners to contribute to a larger narrative of environmental responsibility, setting a new standard for the industry.
Synergy Between AI and Human Expertise
Elevating the Sommelier’s Craft
The integration of Artificial Intelligence (AI) into the process of wine selection marks not the end but a significant transformation in the role of the sommelier. This evolution is characterized by the seamless merging of AI’s analytical strengths with the sommelier’s deep understanding of wine, culture, and personal guest interactions. AI’s entry into this domain provides sommeliers with a suite of tools that enrich their ability to tailor wine selections to the precise preferences and tastes of attendees. By accessing AI-generated insights into guest preferences, historical consumption data, and predictive trends, sommeliers are empowered to provide wine experiences that are deeply personalized, enhancing the dining experience in a way that was previously unimaginable.
This synergy between AI and human expertise allows sommeliers to transcend traditional boundaries, enabling them to craft compelling narratives around each bottle. These stories, woven from the rich history of the wine’s heritage, its journey from grape to glass, and its unique flavor profile, transform each tasting into a memorable experience. The collaboration between AI and sommeliers ensures that the human element of wine selection—the personal touch that elevates a meal into an experience—remains intact, blending the precision of technology with the irreplaceable warmth and authenticity of human interaction.
Balancing the Algorithmic with the Authentic
In the delicate dance between leveraging AI and maintaining the authenticity of wine service, the art of sommeliership shines brighter than ever. While AI provides a powerful platform for enhancing operational efficiency and delivering exceptional personalization in wine selection, it is the sommelier who infuses these recommendations with life. The sommelier’s role shifts from mere selection to that of a storyteller, an educator, and a bridge between the guest and the intricate world of wines. This balance between the algorithmic accuracy of AI and the authentic, personal touch of the sommelier ensures that wine selection remains an art form—a deeply human endeavor that connects, enchants, and leaves a lasting impression on guests.
The collaborative relationship between AI and sommeliers doesn’t dilute the human aspect of wine service but rather enhances it, ensuring that each recommendation carries with it a story worth telling. This unique partnership introduces a new chapter in wine selection, one where technology and tradition combine to create experiences that are not only personalized but deeply resonant. The future of wine service, thus, lies in this harmonious blend, where AI opens the door to possibilities that were previously unexplored, and sommeliers guide guests through a journey that is as enriching as it is delightful, marking each event with the signature of unforgettable excellence.
Navigating the Challenges
The Ethical Aspects of Data Use
In the quest to utilize Artificial Intelligence (AI) for enhancing wine selection processes, the ethical handling of data stands as a crucial concern. As AI systems delve deep into personal preferences and consumption patterns to deliver personalized wine recommendations, the need to protect guest privacy increases. This requires not only the implementation of robust data protection measures but also the development of ethical frameworks that govern the use of such data. The goal is to develop a trust-based relationship with guests, reassuring them that their personal information is handled with the highest care and respect. This foundational commitment to privacy and ethical data usage is vital in maintaining the integrity of the digital transformation in wine selection. It’s about ensuring that the technological advancement enhances the guest experience without damaging the trust that is essential to the hospitality industry.
Overcoming Technological and Cultural Barriers
The integration of AI into the traditional art of wine selection introduces a complex set of technological and cultural hurdles. Technological challenges such as system compatibility, data integration, and the seamless operation of AI within existing event planning infrastructures present tangible obstacles. Concurrently, cultural challenges emerge, rooted in skepticism towards the role of technology in an area traditionally dominated by human expertise. Overcoming these barriers necessitates a multifaceted approach:
Education is key in demystifying AI and showcasing its value as a tool for enhancing rather than replacing the sommelier’s role.
Transparent communication plays a crucial role in addressing concerns and setting realistic expectations about what AI can and cannot do.
A focus on AI as an enhancer of human expertise rather than a competitor is essential in shifting perceptions and creating a culture of acceptance.
Together, these strategies form the foundation of a successful transition to AI-enhanced wine curation, bridging the gap between technological innovation and the timeless tradition of personalized wine selection. By addressing these challenges head-on, the event planning industry can fully embrace the benefits of AI, ensuring a future where technology and tradition coexist in harmony to create enriched, personalized wine experiences.
Envisioning the Future
The Next Frontier in Wine Recommendation
As machine learning algorithms become increasingly sophisticated, the future of wine recommendation looks promising. AI’s ability to analyze complex patterns and preferences suggests a horizon where every wine selection is not just personalized but also, anticipating guests’ desires before they even articulate them. This is not just about enhancing the event experience but about reimagining the possibilities of personalization.
The implications of AI in wine curation hint at a broader transformation in event planning. From menu customization to entertainment selection, AI’s potential to personalize every aspect of the event experience is vast. This future, where every detail is personalized to the guest’s tastes, brings a new era of event planning, characterized by a high level of customization and engagement.
The fusion of technology and tradition in wine selection represents more than a shift in methodology; it signifies a fundamental change in how we approach the planning of and execute event planning. As AI continues to weave its narrative through the tapestry of event planning, its promise extends beyond operational efficiency or personalized recommendations. It offers a glimpse into a future where every event is a reflection of the guests’ deepest preferences, a celebration not just of the occasion but of the individuality of each attendee. In this future, tech meets tannins, not as adversaries but as allies, crafting experiences that connect on a personal level, setting a new standard for what events can aspire to be. For the Silo, Arsalan Vossough.
Arsalan Vossough, CTO and Co-Founder of BetterAI, specializes in advanced AI technologies, including Machine Learning and NLP. Solutions include “VinoVoss” (www.VinoVoss.com ), a semantic search and recommendation system creating a virtual wine sommelier. The Silicon Valley-headquartered BetterAI excels in developing cutting-edge AI solutions, and is aptly leveraging leading edge technologies like AI, Machine Learning, Generative AI, Natural Language Processing, and Computer Vision to hone transformative solutions. It’s VinoVoss platform empowers users to make highly-informed decisions about their wine selections, explore new varietals, find new favorites and even rediscover old gems quicker and easier than ever before. With a background in quantitative finance and teaching, Arsalan has a Bachelor’s in Computer Engineering, an MBA from Corvinus University, and a Data Science Master’s from UC Berkeley, graduating with honors. Connect with Arsalan at www.BetterAI.io.
World Economic Forum’s AI Governance Alliance says a global effort is needed to create equitable access to artificial intelligence. Artificial intelligence holds the potential to address global challenges, but it also poses risks of widening existing digital divides or creating new ones. Three new Forum papers offer recommendations on building safe systems and technologies, ensuring responsible applications and transformation, and advancing resilient governance and regulation.
Davos-Klosters, Switzerland, 18 January 2024 – The AI Governance Alliance (AIGA) released today a series of three new reports on advanced artificial intelligence (AI). The papers focus on generative AI governance, unlocking its value and a framework for responsible AI development and deployment.
The alliance brings together governments, businesses and experts to shape responsible AI development applications and governance, and to ensure equitable distribution and enhanced access to this path-departing technology worldwide.
“The AI Governance Alliance is uniquely positioned to play a crucial role in furthering greater access to AI-related resources, thereby contributing to a more equitable and responsible AI ecosystem globally,” says Cathy Li, Head, AI, Data and Metaverse, World Economic Forum. “We must collaborate among governments, the private sector and local communities to ensure the future of AI benefits all.”
AIGA is calling upon experts from various sectors to address several key areas. This includes improving data quality and availability across nations, boosting access to computational resources, and adapting foundation models to suit local needs and challenges. There is also a strong emphasis on education and the development of local expertise to create and navigate local AI ecosystems effectively. In line with these goals, there is a need to establish new institutional frameworks and public-private partnerships along with implementing multilateral controls to aid and enhance these efforts.
While AI holds the potential to address global challenges, it also poses risks of widening existing digital divides or creating new ones. These and other topics are explored in a new briefing paper series, released today and crafted by AIGA’s three core workstreams, in collaboration with IBM Consulting and Accenture. As AI technology evolves at a rapid pace and developed nations race to capitalize on AI innovation, the urgency to address the digital divide is critical to ensure that billions of people in developing countries are not left behind.
On international cooperation and inclusive access in AI development and deployment, Generative AI Governance: Shaping Our Collective Global Future – from the Resilient Governance and Regulation track – evaluates national approaches, addresses key debates on generative AI, and advocates for international coordination and standards to prevent fragmentation.
Unlocking Value from Generative AI: Guidance for Responsible Transformation – from the Responsible Applications and Transformation track – provides guidance on the responsible adoption of generative AI, emphasizing use case-based evaluation, multistakeholder governance, transparent communication, operational structures, and value-based change management for scalable and responsible integration into organizations.
In addition, for optimized AI development and deployment, a new Presidio AI Framework: Towards Safe Generative AI Models – from the Safe Systems and Technologies track – addresses the need for standardized perspectives on the model lifecycle by creating a framework for shared responsibility and proactive risk management.
AIGA also seeks to mobilize resources for exploring AI benefits in key sectors, including healthcare and education.
Quotes from the initiative:
“As we witness the rapid evolution of artificial Intelligence globally, the UAE stands committed to fostering an inclusive AI environment, both within our nation and throughout the world. Our collaboration with the World Economic Forum’s AI Governance Alliance is instrumental in making AI benefits universally accessible, ensuring no community is left behind. We are dedicated to developing a comprehensive and forward-thinking AI and digital economy roadmap, not just for the UAE but for the global good. This roadmap is a testament to our belief in AI as a tool for universal progress and equality, and it embodies our commitment to a future where technology serves humanity in its entirety.” – H.E. Omar Sultan Al Olama, Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications of the United Arab Emirates
“Rwanda’s participation in the AI Governance Alliance aims to ensure Rwanda and the region do not play catch up in shaping the future of AI governance and accessibility. In line with these efforts, Rwanda’s Centre for the Fourth Industrial Revolution, in collaboration with the World Economic Forum, will host a high-level summit on AI in Africa towards the end of 2024, creating a platform to engage in focused and collaborative dialogue on the role of AI shaping Africa’s future. The event’s primary goal will be to align African countries on common risks, barriers, and opportunities and, ultimately, devise a unified strategy for AI in Africa.” – Paula Ingabire, Minister of Information Communication Technology and Innovation of Rwanda
“IBM continues to drive responsible AI and governance. We all have an obligation to collaborate globally across corporations, governments and civil society to create ethical guardrails and policy frameworks that will inform how generative AI is designed and deployed. IBM is proud to work with the Forum’s AI Governance Alliance as the knowledge partner for this paper series.” – Gary Cohn, IBM Vice-Chairman . “The evolution of AI is unique in that the technology, regulation and business adoption are all accelerating exponentially at the same time. It’s critical that the public and private sector come together to share insights, resources and best practices for building and scaling AI responsibly. Leaders in this space must prioritize inclusive AI so that the benefits of this technology are shared in all parts of the world, including emerging markets. The Forum’s three-part briefing paper series offers insightful considerations across responsible applications, governance and safety to empower businesses, respect people and benefit society.” – Paul Daugherty, Chief Technology Innovation Officer, Accenture.
Misinformation and disinformation are biggest short-term risks, while extreme weather and critical change to Earth systems are greatest long-term concern, according to Global Risks Report 2024.
Two-thirds of global experts anticipate a multipolar or fragmented order to take shape over the next decade.
Report warns that cooperation on urgent global issues could be in short supply, requiring new approaches and solutions.
Geneva, Switzerland, January 2024 – Drawing on nearly two decades of original risks perception data, the World Economic Forum’s Global Risks Report 2024 warns of a global risks landscape in which progress in human development is being chipped away slowly, leaving states and individuals vulnerable to new and resurgent risks. Against a backdrop of systemic shifts in global power dynamics, climate, technology and demographics, global risks are stretching the world’s adaptative capacity to its limit.
These are the findings of the Global Risks Report 2024, released today, which argues that cooperation on urgent global issues could be in increasingly short supply, requiring new approaches to addressing risks. Two-thirds of global experts anticipate a multipolar or fragmented order to take shape over the next decade, in which middle and great powers contest and set – but also enforce – new rules and norms.
The report, produced in partnership with Zurich Insurance Group and Marsh McLennan, draws on the views of over 1,400 global risks experts, policy-makers and industry leaders surveyed in September 2023. Results highlight a predominantly negative outlook for the world in the short term that is expected to worsen over the long term. While 30% of global experts expect an elevated chance of global catastrophes in the next two years, nearly two thirds expect this in the next 10 years.
“An unstable global order characterized by polarizing narratives and insecurity, the worsening impacts of extreme weather and economic uncertainty are causing accelerating risks – including misinformation and disinformation – to propagate,” said Saadia Zahidi, Managing Director, World Economic Forum. “World leaders must come together to address short-term crises as well as lay the groundwork for a more resilient, sustainable, inclusive future.”
Rise of disinformation and conflict
Concerns over a persistent cost-of-living crisis and the intertwined risks of AI-driven misinformation and disinformation, and societal polarization dominated the risks outlook for 2024. The nexus between falsified information and societal unrest will take centre stage amid elections in several major economies that are set to take place in the next two years. Interstate armed conflict is a top five concern over the next two years. With several live conflicts under way, underlying geopolitical tensions and corroding societal resilience risk are creating conflict contagion.
Economic uncertainty and development in decline The coming years will be marked by persistent economic uncertainty and growing economic and technological divides. Lack of economic opportunity is ranked sixth in the next two years. Over the longer term, barriers to economic mobility could build, locking out large segments of the population from economic opportunities. Conflict-prone or climate-vulnerable countries may increasingly be isolated from investment, technologies and related job creation. In the absence of pathways to safe and secure livelihoods, individuals may be more prone to crime, militarization or radicalization.
Planet in peril
Environmental risks continue to dominate the risks landscape over all timeframes. Two-thirds of global experts are worried about extreme weather events in 2024. Extreme weather, critical change to Earth systems, biodiversity loss and ecosystem collapse, natural resource shortages and pollution represent five of the top 10 most severe risks perceived to be faced over the next decade. However, expert respondents disagreed on the urgency of risks posed – private sector respondents believe that most environmental risks will materialize over a longer timeframe than civil society or government, pointing to the growing risk of getting past a point of no return.
Responding to risks
The report calls on leaders to rethink action to address global risks. The report recommends focusing global cooperation on rapidly building guardrails for the most disruptive emerging risks, such as agreements addressing the integration of AI in conflict decision-making. However, the report also explores other types of action that need not be exclusively dependent on cross-border cooperation, such as shoring up individual and state resilience through digital literacy campaigns on misinformation and disinformation, or fostering greater research and development on climate modelling and technologies with the potential to speed up the energy transition, with both public and private sectors playing a role.
Carolina Klint, Chief Commercial Officer, Europe, Marsh McLennan, said: “Artificial intelligence breakthroughs will radically disrupt the risk outlook for organizations with many struggling to react to threats arising from misinformation, disintermediation and strategic miscalculation. At the same time, companies are having to negotiate supply chains made more complex by geopolitics and climate change and cyber threats from a growing number of malicious actors. It will take a relentless focus to build resilience at organizational, country and international levels – and greater cooperation between the public and private sectors – to navigate this rapidly evolving risk landscape.”
John Scott, Head of Sustainability Risk, Zurich Insurance Group, said: “The world is undergoing significant structural transformations with AI, climate change, geopolitical shifts and demographic transitions. Ninety-one per cent of risk experts surveyed express pessimism over the 10-year horizon. Known risks are intensifying and new risks are emerging – but they also provide opportunities. Collective and coordinated cross-border actions play their part, but localized strategies are critical for reducing the impact of global risks. The individual actions of citizens, countries and companies can move the needle on global risk reduction, contributing to a brighter, safer world.”
About the Global Risks Initiative
The Global Risks Report is a key pillar of the Forum’s Global Risks Initiative, which works to raise awareness and build consensus on the risks the world faces, to enable learning on risk preparedness and resilience. The Global Risks Consortium, a group of business, government and academic leaders, plays a critical role in translating risk foresight into ideas for proactive action and supporting leaders with the knowledge and tools to navigate emerging crises and shape a more stable, resilient world.
Generative artificial intelligence (GenAI) tools have far-reaching implications for education and research.
Yet the education sector today is largely unprepared for the ethical and pedagogical integration of these powerful and rapidly evolving technologies.
A recent UNESCO global survey of over 450 schools and universities showed that less than 10% of them had policies or formal guidance on the use of GenAI applications, largely due to the absence of national regulations. And only seven countries have reported that they had developed or were developing training programmes on AI for teachers.
The new guidance, recently launched during UNESCO’s flagship event Digital Learning Week in Paris, calls on countries to implement appropriate regulations, policies, and human capacity development, for ensuring a human-centred vision of GenAI for education and research.
What the guidance is proposing
The guidance presents an assessment of potential risks GenAI could pose to core humanistic values. It offers concrete recommendations for policy-makers and institutions on how the uses of these tools can be designed to protect human agency and genuinely benefit students, teachers and researchers.
The guidance proposes seven key steps for governmental agencies to regulate the use of GenAI in education:
Step 1: Endorse international or regional General Data Protection Regulations or develop national ones. The training of GenAI models has involved collecting and processing online data from citizens across many countries. The use of data and content without consent is further challenging the issue of data protection.
Step 2: Adopt/revise and fund national strategies on AI. Regulating generative AI must be part and parcel of broader national AI strategies that can ensure safe and equitable use of AI across development sectors, including in education.
Step 3: Solidify and implement specific regulations on the ethics of AI. In order to address the ethical dimensions posed by the use of AI, specific regulations are required.
Step 4: Adjust or enforce existing copyright laws to regulate AI-generated content: The increasingly pervasive use of GenAI has introduced new challenges for copyright, both concerning the copyrighted content or work that models are trained on, as well as the status of the ‘non-human’ knowledge outputs they produce.
Step 5: Elaborate regulatory frameworks on generative AI: The rapid pace of development of AI technologies is forcing national and local governance agencies to speed up their renewal of regulations.
Step 6: Build capacity for proper use of GenAI in education and research: Schools and other educational institutions need to develop capacities to understand the potential benefits and risks of GenAI tools.
Step 7: Reflect on the long-term implications of GenAI for education and research: The impact and the implications of GenAI for knowledge creation, transmission and validation – for teaching and learning, for curriculum design and assessment, and for research and copyright.
A human-centered vision for digital learning and AI
UNESCO is committed to steering technology in education, guided by the principles of inclusion, equity, quality and accessibility. The latest Global Education Monitoring Report on technology in education highlighted the lack of appropriate governance and regulation. UNESCO is urging countries to set their own terms for the way technology is designed and used in education so that it never replaces in-person, teacher-led instruction, and supports the shared objective of quality education for all.
With driverless cars already on the streets, will there be similar AI breakthroughs in the future of parking?
In the ’60s, The Jetsons, a cartoon about a family living in the future, featured a flying car that folded down into a briefcase when not in use. It is unlikely that we will ever see that solution to parking become a reality, but many other sci-fi books and films have predicted self-driving vehicles, and we know they are coming because they kind of exist today.
Parking facilities in the future must make allowances for electric vehicles. (Photo by guteksk7/Shutterstock)
While brands like Tesla have pushed the boundaries of driver assistance to become a version of self-driving, including parking the vehicle automatically, currently the parking infrastructure has not really kept up.
But we know that cannot continue, and the reality is that as transport technology evolves, parking solutions will have to evolve as well. But what does that mean long term? Will we be able to arrive at a parking center, get out and leave the car to it, then call it back to us when we want to leave? That seems like the dream approach to parking, but what does it need to make it happen?
Parking tech
There are two parts to that kind of service, the technology in the car park itself, and the technology within the car. For such a seamless experience, the two will need to work together, in that the vehicle must be able to drive autonomously, but also receive information about parking locations and when it should return to the entrance, from the car park itself. Both sets of technology actually exist today, not as refined as required for a reliable autonomous parking experience, but that is only a matter of time and development. But is it the right answer?
Right now, parking systems know which cars are parked where within the car park, this data is used to establish remaining capacities and so on, and while not universal, there are cars that can go off and park themselves when needed. So that future service is nearer than we think, but in the meantime what does car parking look like? Some may say that the future is already here without needing self-driving cars.
In Japan and some cities in the US, lift-based parking solutions offer a similar experience today. You arrive at a parking garage; your vehicle is pulled into a cubicle which is then lifted away. When you want to return to your car, the system finds the right cubicle garage and then returns it to the entrance, so you can drive away.
There are advantages to this approach, without the need for ramps to drive up and down to reach the parking, more cars can be parked in a given space. Because no one actually enters the building where vehicles are stored, it is also incredibly secure too. These systems are being constantly refined, and in the future, it is likely such a garage could be completely automated. With the advantages of space and security, is that more likely to be the future of high-density parking? If we look at other factors, it may well be.
Cities are increasingly looking to decrease car numbers, opening up spaces instead for social areas, encouraging cycling and other more environmentally friendly approaches to transportation. This is unlikely to change even with the widespread adoption of electric cars, so parking will naturally require large hubs with high-density parking that allows easy access to walks, bikes or public transport to central areas. To get an idea for the future of parking, we can look at what technology best fits this scenario.
Robotic Solutions
It is likely that these robotic lift-type solutions that pack more vehicles into each parking area fit the needs of city designers better than any more traditional multi-story or underground system that requires ramps and so on, whether the cars are operated by drivers or park themselves. There are other things that are in favor of this approach too.
Architects are under pressure to soften the appearance of buildings in cities across the world, to create spaces that have more light and elegance. A more compact multi-story space, or an underground alternative with only one small entrance space is easier to disguise with cladding, color and other design tricks that much larger car parks that have ramps and so on.
There is also the matter of technology. While there are cars that can drive themselves in a limited way now, and numbers are only going to increase, they are not all cars, and may never be. Holden stopped making cars in 2020, but in 20 years’ time, there will still be Holden cars driving on the roads. Those cars can never use autonomous parking systems, but they can use the robotic systems that take your car away and bring it back via a crane lift. They can use them today, and they can use them in the future.
Machine learning to park
So, the dream of a car swooshing away into its own spot automatically could well be the future. However, it is more likely to be carried there by a machine rather than drive itself. But not all parking is in cities with integrated parking solutions ran by the local authorities. For parking elsewhere, things will develop alongside vehicle technology, and there is one area that must advance for the future of the automotive industry itself, never mind parking. That is electric car charging.
Right now, charging is a bit of a mess: different speeds depending on the charger installation, there is no real cohesive system and owners often have to wrestle with a number of different apps to access charging networks on the go. Then there are the mechanics of charging, a heavy cable that has to be plugged in, account information and payment input before the car can be charged. As with phones, wireless charging is the solution, it removes much of the hassle and fail points for a better experience. But what would that look like in cars?
The obvious answer is charging areas embedded into the road or parking space, with a vehicle stopping on top of it automatically charging. There are hurdles to this, it would mean an end to the various account systems currently used to access charge networks, and instead have something tied to the vehicle itself. However, this kind of solution offers easy and efficient charging without the hassle we have today.
This would also require new technology for parking. For instance, our robotic car parks could have a charge loop in each container or cubicle, so electric vehicles charge automatically once they are taken away for storage. Likewise, on-road parking at parking meters could include chargers under each space.
This makes the charging process so much less hassle but allows for electric car charging without having to install endless charge stations in streets, and avoiding all the cables that the current system will need. Given the sheer number of electric cars that will be in operation in just a decade or so, and one cable per car, you can see how much an alternative is required.
But while technology will continue to drive the parking experience, and in cities and communities the need for clean, open spaces will change where we park and what that parking looks like, there will still be areas where parking sits outside of these grand designs. At its heart, a parking space is somewhere to store a vehicle while you go off and do something, and that need is not going to change. Large robotic parking systems in cities may appear in numbers, but they are not going to be the norm in areas with a smaller traffic flow or specific needs.
What we may see, and it is happening now, is that entrepreneurs and visionaries can find ways to provide a more selective parking solution on a smaller scale, that caters to a very specific need in a specific location. Not only are these services essential and in high demand, but they can be a source of income for anyone who has access to suitable parking space. With more cars than ever on the roads, and with a shift to electric not changing that, the future of parking looks to be heading in multiple directions.
The centralized systems operated in cities and other large communities will follow an approach that minimizes the space required and seek to integrate such facilities into an overall plan for the area. However, in some areas where there is no overall control of parking operations, the idea that you can rent a parking spot from a single person makes sense. Some people have space, others need that space, and as more cars are used, that space is in ever higher demand. This article is an excerpt from the complete e-book Parking Made Easy by Daniel Battaglia.
Vancouver, B.C. – Art Vancouver, Western Canada’s largest international art fair is once again uniting the world through art, held at the Vancouver Convention Centre West on May 4–7, 2023.
Art Vancouver’s vision is a noble one that seeks to use the universal language of art to connect people from different parts of the world and to promote a sense of global community.
By bringing together artists and galleries from across Canada and around the world, Art Vancouver aims to showcase a diverse range of contemporary artwork that reflects the unique perspectives, experiences, and cultures of each participating artist.
Art Vancouver marks its 7th edition, welcoming 100+ exhibitors, making Vancouver a destination city for artists, collectors and art lovers alike. Unique to this year, is a panel discussion about the intersection of Artificial Intelligence and art, providing valuable insights and perspectives from experts in the field.
Artist talks, demonstrations and art classes are always a great way for attendees to learn new skills and techniques, and having more of them available means that more people can benefit from the educational opportunities.
Art Vancouver has put together a diverse and engaging program that offers something for everyone. Whether attendees are artists themselves, or simply enthusiasts of art and creativity, there should be plenty of opportunities to learn, engage, and be inspired.
Established in 2017, the non-profit organization was started to make art accessible to everyone, with the goal of promoting and developing Vancouver’s visual art community into a thriving international art scene. VVAF hosts their main annual event, Art Vancouver, a four-day international art fair showcasing artists from across Canada and around the world. For the Silo, Christina Ioannou.