Canada’s AI adoption problem meets its youth employment problem

Canadian businesses are struggling to find people who can turn AI experiments into working systems. A national charity thinks part of the answer is already sitting in university classrooms.

Venture for Canada (VFC), which places students and recent graduates in paid work at Canadian businesses, released a policy brief yesterday proposing a model to tackle it. 

The student-led AI adoption model would place students and recent grads inside small businesses on short-term AI projects. They’d figure out where AI fits, test the tools, and get something working.

“The model simultaneously strengthens early-career AI literacy and accelerates responsible AI adoption across Canada’s productive base,” says Steven Wang, CEO of Venture for Canada.

Small businesses account for about 98% of Canadian employer businesses, while SMEs employ more than 63% of the private-sector workforce. Only 12.5% report using AI. 

Meanwhile, youth unemployment is running at 12.7%, down from a spring peak but still above the pre-pandemic average of 10.8%.

The policy brief frames these as two sides of the same problem. Young Canadians can’t find meaningful work. Small businesses can’t find the expertise or bandwidth to adopt AI. 

The idea is to wire AI projects into existing co-op placements, internships, and the federal Student Work Placement Program. VFC already runs placements through that federal program.

The proposal lands nearly six weeks after Ottawa launched AI for All, the national AI strategy that commits to 90,000 AI-related jobs and work placements for young Canadians and explicitly targets SME adoption as a priority.

It also follows BDO Canada’s AI Vision Report, which found 27% of Canadian business leaders expect minimal AI impact on their organizations over the next four years. BDO said the finding may point to a “visibility gap,” where AI is getting embedded into enterprise software whether leaders are watching or not.

“Our goal is not just to help businesses adopt AI to increase productivity for the country,” says Wang. “It’s to ensure the next generation of Canadians develops the practical skills and professional judgment needed to use AI responsibly and strengthen trust in how these tools are applied.”

The model is meant to sit inside programs that already exist rather than require a separate funding stream.

If it works, young workers would leave with implementation experience that employers currently struggle to find, at a moment when that experience is in short supply everywhere, not just at SMEs.

Final shots

• VFC’s model layers AI implementation sprints onto existing co-op, internship, and student work placement infrastructure rather than building a new program from scratch.
• Canada’s AI for All strategy targets 90,000 AI-related youth placements by 2031 and a fivefold increase in business adoption by 2034. The capacity to execute on both remains the open question.
• SMEs employ more than 63% of Canada’s private-sector workforce and account for 98% of businesses, but only 12.5% report using AI in production or service delivery.