Canada has decided that artificial intelligence is no longer optional, and it wants your business in on it. Ottawa has laid out a national AI strategy called "AI for All," and tucked inside the big national numbers is a plain message to small businesses: the government is betting most of you will be using AI within a few years, and it's building programs to push that along.
What the strategy actually says
"AI for All" runs on six pillars: protecting Canadians, training people, driving AI adoption, building sovereign AI infrastructure, scaling Canadian companies, and partnering internationally. The one that matters most for a small business is adoption: the stated goal is to lift business AI adoption from roughly 12% today to 60% by 2034, with AI adoption expected to help create up to 250,000 jobs by 2031. To get there, the government is promising free AI training for everyone in Canada, support aimed specifically at small and medium businesses, and a new Small and Medium Business Procurement Program (launching this spring) meant to make it easier for Canadian firms to win government work.
Why this matters even if you're not "an AI company"
- It signals AI is becoming table stakes, not a novelty. When the federal government sets a target to roughly five-times business adoption, the direction is unmistakable: the businesses around you, including your competitors, are being nudged hard toward using AI.
- There may be support you can actually use. Free training and SME-focused programs mean some of the cost and the learning curve of adopting AI could be subsidized. Worth watching as the details land.
- "We're too small for AI" is exactly the myth being targeted. The whole point of the adoption pillar is the long tail of small businesses sitting at around 12% today.
- It raises the stakes on doing it safely. More adoption, combined with the privacy regulator's new focus on AI, means the smart move is to adopt with guardrails, not to rush in.
What to do with this, realistically
Don't overreact to a policy announcement, but don't ignore the direction either:
- Pick one real problem AI could help with (drafting, summarizing, customer replies, scheduling) and try it in a low-stakes way. Our guide on adopting AI the practical way is the starting point.
- Use business-tier tools and a one-page rule so you don't trade productivity for a privacy problem. Here's how to use AI without leaking client data.
- Measure whether it's actually paying off before you scale it across the team.
- Watch for the SME programs and training as they roll out; some may be worth claiming.