Canada’s resource economy once made the country “hewers of wood,” and continuing to under-invest in artificial intelligence could freeze the nation in a similar raw-materials role for the digital age.
Major players such as the United States, the European Union and China are pouring public money into semiconductor fabs and sovereign cloud projects, while venture capital concentrates around premium compute hubs like California’s Bay Area.
Without comparable domestic muscle, Canadian start-ups must rent foreign servers at inflated prices, surrender sensitive data jurisdiction and expose intellectual property to foreign jurisdictions. Those leakages threaten productivity at a moment when GDP per capita has already stalled. Action in Ottawa over the past year shows policy-makers have grasped the stakes, yet industry leaders argue that execution needs to speed up.
Compute power, capital and control
Ottawa began filling the capacity gap in June by opening applications for a new AI Compute Access Fund that will channel up to C$300 million toward high-performance chips for small and medium-sized enterprises. The fund sits inside a wider C$2-billion Sovereign AI Compute Strategy that also promises a Canadian-owned supercomputer and purpose-built data centres. In March, the government followed with up to C$240 million for Cohere Inc. to anchor one of those centres in the Ottawa region.
“Artificial intelligence is reshaping our world, and Canada is leading the way,” Innovation Minister Anita Anand said when announcing the Cohere deal.
Industry groups welcomed the move but cautioned that speed matters: silicon ordered today arrives in months, and scarce energy permits could slow construction. Meanwhile, Washington and Brussels are rolling out export controls for advanced chips, underscoring why Canadian sovereignty over compute hardware has become an economic security issue rather than a luxury. A domestic cloud backbone would also lower energy-adjusted costs for model training, supporting climate goals by shrinking the distance that data must travel.
Talent and rules still lag
Technology, however, is only one lever. Labour economists tie Canada’s long-running productivity slump to smaller firm size, fragmented capital markets and patchy skills training. Speaking in November, Bank of Canada Deputy Governor Nicolas Vincent argued that AI can reverse the slide but only if workers are ready.
“To get the most out of AI while limiting the negative impact on workers, we will need to rethink some aspects of our approach to education,” Vincent said.
The federal Artificial Intelligence and Data Act, still before the Senate, aims to nudge companies toward safe deployment, yet start-ups complain that uncertain rules deter capital at the exact moment global investors are hunting for scale-up prospects.
Canada has signed the Council of Europe Convention on AI and Human Rights, but without a domestic liability framework the risk of divergent provincial standards remains. Immigration rules add another pinch point: specialist visas now clear in weeks, not months, yet aggressive U.S. recruiters still skim top graduates from Montréal and Waterloo campuses.
Canada’s AI moment is therefore a three-part race: build sovereign compute, keep capital onshore and train talent for continuous adoption. Progress is real, but the gap with global peers remains wide. Without faster follow-through, Canada risks again exporting a discounted raw material, this time, the data that powers artificial intelligence, while buying back the finished product at a premium. A coordinated push by Ottawa, provinces and the private sector could flip that script and place Canada at the profitable centre of the next technology cycle.
