A Strategy Long in the Making
Canada's federal government is putting the finishing touches on a national AI strategy that the country's technology sector has been waiting on for years. For many tech CEOs, the stakes couldn't be higher — and the optimism, while cautious, is real.
Industry leaders are hoping the incoming policy looks less like a vague commitment to innovation and more like a concrete industrial blueprint: one that signals Canada is ready to roll up its sleeves and actively help companies build, scale, and compete on the global stage.
What the Sector Actually Wants
The ask from the tech community isn't complicated, but it is specific. Executives want a strategy that treats AI development like an industrial priority — not just a research exercise. That means targeted investment, faster regulatory clarity, and a government willing to be a customer and collaborator, not just a regulator.
Access to computing infrastructure is near the top of every wish list. Canada has globally recognized AI talent — much of it rooted in academic powerhouses like the Vector Institute in Toronto and Mila in Montreal — but the hardware needed to train frontier models remains expensive and largely concentrated in the United States. A national strategy that funds sovereign compute capacity would signal real commitment.
Data access is the other major pressure point. Canada holds enormous stores of health, climate, and public-sector data that could power transformative AI applications. Tech leaders want streamlined, privacy-respecting frameworks that let companies and researchers actually use this data rather than watching it sit locked in government silos.
The Risk of Another Missed Window
The urgency behind these calls isn't abstract. Other countries haven't been waiting. The United States, the United Kingdom, France, and the European Union have all moved aggressively on AI policy and investment over the past two years. Canada, which was once regarded as a global AI leader thanks to early academic investment, risks ceding that position if the federal response is too slow or too cautious.
For smaller Canadian AI startups, the concern is talent retention. Without a clear domestic ecosystem backed by government commitment, it becomes harder to compete with Silicon Valley compensation packages and the gravitational pull of U.S. venture capital.
Reasons for Optimism
Despite the delays, there are signals the government understands the moment. Officials have held extensive consultations with the private sector, and early indications suggest the strategy will include measures around public procurement — making the federal government an early customer for Canadian AI products — as well as support for AI adoption in priority sectors like health care, agriculture, and clean energy.
If the final document matches that ambition, it could mark a genuine turning point. Canada has the talent, the research base, and the raw material. What it has lacked is a clear, committed government partner willing to act at speed.
Tech CEOs are hopeful. But they've learned to wait for the fine print.
Source: CBC News
