On June 3, 2026, the Canadian government published its very first National Artificial Intelligence Strategy, titled AI for All. I read the document so you don’t have to.

First, Canada Is Behind

Canada co-invented modern AI. Geoffrey Hinton (Nobel Prize), Yoshua Bengio, and Richard Sutton (Turing Award) are all Canadian. Yet only 12% of Canadian businesses use AI in their operations, compared to 26% in Germany and more than 40% in Nordic countries. Fewer than one in four Canadians say they have received AI training.

We innovate here. We adopt elsewhere. That’s the paradox this strategy aims to fix.

Six Pillars

The strategy is built around six pillars:

  • Protect Canadians: modernizing privacy laws, combating deepfakes and disinformation, protecting elections
  • Equip Canadians: free AI literacy training for all, access to reliable AI agents for all post-secondary students
  • Shared prosperity: a target of 60% business adoption by 2034, 250,000 new jobs enabled by AI
  • Digital sovereignty: building a world-class supercomputer, $2 billion in sovereign computing infrastructure
  • Canadian champions: a $500 million fund to keep Canada’s best AI companies in Canada
  • Global alliances: 20 new partnerships with like-minded countries, 11 of them explicitly focused on AI

What Stands Out to Me

First, the word trust is at the heart of everything. The strategy explicitly recognizes that adoption without trust doesn’t hold. That’s a mature approach, especially in a context where half of Canadians see AI as a threat to humanity.

Next, digital sovereignty is finally being taken seriously. The diagnosis is honest: our researchers train their models on foreign servers, our sensitive data lives in foreign jurisdictions, and our best companies end up moving to the United States. The government wants to change that, with concrete resources.

Finally, the priority sectors (health, energy, agriculture, transport, manufacturing) are well chosen. These are areas where Canada has data, assets, and a real international advantage.

What It Means

For organizations, this is the signal that AI adoption is no longer optional. The government will train, fund, and certify. Companies that wait will find themselves behind an accelerating curve.

For compliance and security professionals, the coming months will bring new privacy laws, AI certification standards, and a strengthened transparency framework. Better to prepare now.

A Blind Spot: Standards

The strategy remains surprisingly vague on technical standards. It mentions the Standards Council of Canada and a future “Canadian Trustworthy AI Certification Program,” but names no specific standard. Notably, ISO 42001 — the international reference standard for AI management systems — is absent from the document.

That’s a real blind spot. ISO 42001 is already the compass serious organizations use to structure their AI governance: policies, risk assessment, transparency, and accountability. If the government wants to impose trustworthy AI certification, it will have to build on something. And ISO 42001 is the most logical candidate.

For compliance and security professionals, the message is clear: don’t wait for the regulatory framework to be finalized. Organizations that start aligning their AI governance with ISO 42001 now will be in a much better position when requirements become formal.

Canada had the brains. It now has a plan.

The real question: will our organizations keep pace, or wait until it becomes mandatory?

👉 Contact me if you’d like to implement the standard or learn more.

Source: Canada’s National Artificial Intelligence Strategy – AI for All (ISED, June 2026)