Canada, US dominate global AI talent: report
Canada’s position builds on long-term investment in foundational research through institutions including Mila, the Vector Institute and the Alberta Machine Intelligence Institute (Amii), which received a C$50 million, five-year provincial commitment in July 2026. The concentration of 60 per cent of Canada’s AI-specialty talent in three cities is a sign of depth, but it also means the country’s workforce advantage is geographically narrow, making those markets intensely competitive for recruiters.
For HR leaders tracking Canada’s widening AI skills gap and the confidence levels of workers using these tools, the ranking underscores that talent density and talent retention are two separate problems.
What the ranking means for HR leaders
Workforce concentration does not automatically translate into broad commercial deployment. Statistics Canada’s Canadian Survey on Business Conditions, conducted from April to May 2026, found that 19.2% of businesses had used AI to produce goods or deliver services during the preceding 12 months — up from 6.1% in 2024, but still leaving most Canadian enterprises outside active adoption.
Patrick Poulin, President and Managing Director of Randstad Canada in Montreal, has identified the specialist shortage as the central constraint. “In 2026, the main constraint on AI adoption will not be tools or investment — but the availability of skilled professionals who can implement these systems at scale,” he said. Rob Wilmot, General Manager of IBM Consulting Canada in Toronto, echoed that view in February 2026, noting that Canadian organisations are entering 2026 “not because the economy is predictable, but because leaders are betting on AI as a long-term growth engine.”
HRD Canada’s reporting on how HR functions are excluded from AI strategy decisions at 37% of Canadian firms, according to an IBM study with Oxford Economics, suggests many organisations still lack the internal alignment needed to deploy that talent effectively.
