Canada has secured a commendable fifth position among 56 Commonwealth member states in a recent youth Artificial Intelligence (AI) readiness ranking, yet a closer examination reveals a significant lag in the adoption of AI by young workers in professional settings. The Ayre Index, compiled by the Ayre Think Tank, highlights Canada’s overall strong performance in AI preparedness, particularly in areas like meaningful access, but underscores a notable disparity when it comes to integrating AI into the daily work lives of its youth. While the nation scores a respectable 70.2 out of 100 overall, its score of 5.3 in education and training provision points to potential roadblocks in equipping the next generation with the advanced digital skills necessary for the evolving job market.
The report, released concurrently with the Commonwealth Heads of Government Meeting in St. John’s, Antigua and Barbuda, aimed to assess the preparedness of youth across member nations for the AI-driven future. Canada’s overall ranking places it behind Singapore (77.6), Malta (75.0), Australia (71.0), and the United Kingdom (70.8). However, the stark contrast between its overall success and its youth’s workplace AI engagement is a key takeaway. Only 10 percent of Canadian workers aged 15 to 24 reported using AI in their professional capacities, a figure that stands as the lowest among ten Commonwealth countries for which comparable data was available. This places Canada significantly behind nations like Fiji, which led this specific metric with 49.3 percent of its young workforce utilizing AI.
Understanding the Ayre Index and Canada’s Performance
The Ayre Index provides a multifaceted view of AI readiness, assessing various pillars that contribute to a nation’s ability to harness the potential of AI. Canada’s overall score of 70.2 reflects its strengths in several of these areas. Notably, its "Meaningful Access" pillar achieved a near-perfect score of 9.4 out of 10, suggesting that a substantial portion of the Canadian population has access to the necessary digital infrastructure and resources to engage with AI technologies. This foundational access is crucial for widespread AI adoption and innovation.
However, the report’s findings regarding "Education and Training Provision" present a significant area for improvement. Canada’s score of 5.3 in this category indicates that its educational systems and training programs are not fully optimized to integrate AI into curricula or provide explicit training on AI tools and concepts. The country profile cited in the report noted that while computing is present in some schools or districts, national teacher policies do not explicitly mention AI. This gap in formal educational integration could be a primary driver behind the low workplace AI adoption rates among young Canadians.
Furthermore, the study revealed that Canada had usable data for 76 out of 102 scored indicators, resulting in a Data Gap Index score of 31.8 out of 100. A higher score on this index signifies more missing source evidence, suggesting that while Canada provides substantial data, there are still areas where more comprehensive reporting on AI-related initiatives could be beneficial. The report also provided demographic context, indicating Canada’s youth population (aged 15 to 29) stands at 8.0 million within a total population of 41.2 million.
Youth AI Usage: A Tale of Two Sectors
The Ayre Index data draws from distinct sources for educational and work-related AI usage, highlighting different facets of youth engagement with the technology. For educational purposes, the study referenced OECD PISA 2025 data, which tracked 15-year-old pupils using AI chatbots for schoolwork at least weekly. In this regard, 37.7 percent of surveyed young people in Canada reported using AI for their studies. This figure, while lower than some top-ranking nations, demonstrates a nascent but present integration of AI into academic learning environments.
The disparity emerges starkly when looking at AI use in the workplace. The 10 percent figure for Canadian youth in professional settings is derived from Statistics Canada’s measure of generative AI use at work within the preceding 12 months. This lower figure suggests that while young Canadians are exploring AI for learning, its practical application in their jobs is significantly less widespread. This could be attributed to several factors, including the nature of entry-level positions, the availability of AI tools in specific industries, or employer-led training and adoption initiatives, or a lack thereof.
Global Comparisons and Economic Projections
The Ayre Index’s broad scope allows for significant international comparisons. At the lower end of the spectrum, Malawi ranked last with a score of 26.3, followed by Lesotho at 27.8. These nations face significant challenges in AI readiness, with low electricity access and internet usage rates among youth, as cited by World Bank figures. For instance, only 15.6 percent of Malawi’s population has electricity, and youth internet usage stands at a mere 27.4 percent. In contrast, Rwanda demonstrates higher infrastructure readiness with 98.8 percent of its population covered by 4G networks, though youth internet usage is at 33.4 percent. Nigeria, despite its significant youth population and high anticipated AI use for education or work (around 90% of respondents), scored very low in its "Digital, Data, Media and AI capability" pillar at 0.8 out of 10.
The Ayre Think Tank also projected the potential economic impact of AI on member states’ Gross Domestic Product (GDP). Using International Monetary Fund (IMF) estimates of AI’s potential impact on GDP levels after ten years, the think tank applied these projections to each member’s 2025 GDP. For Canada, the illustrative AI-related GDP gain is estimated to be US$73.08 billion under a moderate scenario, with a conservative estimate of US$37.12 billion and an optimistic projection of US$109.04 billion. These figures are based on a country’s GDP and its assigned IMF economic group, and the white paper emphasizes that these are not guaranteed gains but rather illustrative projections.
The study further highlighted that 15 member states achieving a readiness benchmark of 53 or above collectively stand to gain US$389.2 billion in the moderate scenario. In stark contrast, the 41 member states below this benchmark are projected to see a combined gain of only US$29.2 billion. The United Kingdom alone accounts for approximately US$126 billion of the higher projected gains, underscoring the economic advantages for nations that are more prepared for AI integration.
The Imperative of AI Readiness: A Call to Action
Calvin Ayre, the founder of the Ayre Think Tank, emphasized the transformative nature of AI across work, business, and wealth creation, issuing a strong cautionary note. "No one can afford to be complacent," Ayre stated, underscoring the urgency for nations to proactively engage with AI technologies and their implications. His sentiment reflects a growing consensus among global leaders and economists that AI is not merely a technological advancement but a fundamental shift that will reshape economies and societies.
The Ayre Think Tank’s white paper explicitly states its independence, clarifying that the publication was not produced, sponsored, or endorsed by the Commonwealth Secretariat or the meeting’s organizers. This assertion reinforces the report’s aim to provide an objective assessment of AI readiness within the Commonwealth.
Implications for Canada’s Future Workforce and Economy
Canada’s position in the Ayre Index presents a mixed but ultimately optimistic outlook. Its high overall score suggests a strong foundation for embracing the AI revolution. The excellent "Meaningful Access" score indicates that the necessary infrastructure is largely in place. However, the low score in "Education and Training Provision" and the subsequent low rate of youth AI adoption in the workplace are critical areas that require immediate attention.
The disparity between educational AI use and workplace AI use suggests a potential disconnect between what young Canadians are learning and what they are applying in their professional lives. This could lead to a skills gap, where a generation is digitally literate but not necessarily AI-proficient in a manner that directly translates to enhanced productivity and innovation in the workplace. As AI continues to permeate various industries, from healthcare and finance to manufacturing and creative arts, Canadian businesses and policymakers must prioritize initiatives that bridge this gap.
Possible strategies could include:
- Curriculum Reform: Integrating AI concepts, ethics, and practical applications into school curricula from an early age.
- Teacher Training: Equipping educators with the knowledge and skills to teach AI effectively and to leverage AI tools in their own teaching practices.
- Industry-Academia Partnerships: Fostering collaborations between educational institutions and businesses to ensure that training programs align with current and future industry demands for AI expertise.
- Workplace AI Adoption Programs: Encouraging businesses to invest in AI tools and provide on-the-job training for their employees, particularly younger workers.
- Government Initiatives: Developing national strategies and funding programs to support AI research, development, and adoption across all sectors, with a specific focus on youth development.
The economic projections for Canada, while illustrative, underscore the significant potential benefits of AI integration. Failing to address the current shortcomings in education and workplace adoption could mean missing out on a substantial portion of these potential gains. As the global landscape rapidly evolves with AI, Canada’s ability to maintain and enhance its competitive edge will depend on its success in cultivating a workforce that is not only digitally connected but also AI-empowered. The Ayre Index serves as a valuable benchmark, highlighting both Canada’s strengths and the critical areas that demand focused strategic intervention to ensure its youth are fully prepared for the AI-driven future. The coming years will be crucial in determining whether Canada can translate its strong overall AI readiness into tangible benefits for its economy and its future workforce.
