Canada is exploring a new approach to solve two growing challenges at once: slow AI adoption among small businesses and rising youth unemployment.
A new policy proposal from Venture for Canada (VFC) suggests placing university students and recent graduates inside small and medium-sized enterprises (SMEs) to help businesses implement artificial intelligence while giving young professionals valuable hands-on experience.
The initiative aims to bridge the widening gap between businesses eager to adopt AI and the shortage of skilled workers capable of deploying it effectively.
Helping SMEs turn AI ideas into reality
While interest in artificial intelligence continues to grow, many Canadian businesses struggle to move beyond experimentation.
According to Venture for Canada, the biggest obstacle isn’t access to AI tools it’s finding people who know how to integrate them into day-to-day operations.
The proposed model would place students and recent graduates on short-term AI implementation projects, where they would identify opportunities to use AI, test suitable tools, and help businesses deploy practical solutions.
Rather than focusing solely on theory, participants would gain real-world experience implementing AI systems inside operating companies.
Addressing two challenges with one solution
The proposal argues that Canada’s AI adoption gap and youth employment challenges are closely connected.
Small businesses often lack the expertise, time, and financial resources needed to implement AI, while many young graduates struggle to secure meaningful work that builds relevant technical skills.
By connecting the two groups, Venture for Canada believes businesses can improve productivity while students develop the practical AI experience increasingly demanded by employers.
Small businesses hold the key
Small and medium-sized businesses represent the backbone of Canada’s economy.
SMEs account for approximately 98% of all employer businesses and employ more than 63% of the country’s private-sector workforce.
Despite their economic importance, only 12.5% currently report using AI in their operations.
Increasing AI adoption among this segment could significantly improve productivity, operational efficiency, and long-term competitiveness across the Canadian economy.
Building on existing programs
Rather than creating an entirely new initiative, Venture for Canada proposes integrating AI implementation projects into existing co-op programs, internships, and the federal Student Work Placement Program.
This approach minimizes additional funding requirements while leveraging infrastructure already connecting students with employers.
Students would graduate with practical implementation experience a skill set that remains in short supply across industries.
Supporting Canada’s National AI strategy
The proposal aligns closely with Canada’s recently announced AI for All strategy, which aims to create 90,000 AI-related jobs and work placements for young Canadians while significantly increasing AI adoption among businesses over the coming decade.
Government leaders have identified SME adoption as a key priority, recognizing that widespread AI deployment will depend on helping smaller companies overcome implementation barriers.
Businesses still underestimate AI’s impact
Recent industry research suggests many Canadian companies continue to underestimate AI’s long-term influence.
A report by BDO Canada found that more than one-quarter of business leaders expect artificial intelligence to have little impact on their organizations over the next four years.
However, researchers argue AI is increasingly being integrated into enterprise software, often without businesses fully recognizing how rapidly the technology is transforming operations.
Canada’s proposal highlights a growing global challenge: access to AI technology is no longer the primary obstacle successful implementation is.
By pairing students with small businesses, the initiative seeks to simultaneously strengthen the country’s AI workforce, reduce youth unemployment, and accelerate digital transformation across the economy.
If successful, the model could provide a scalable blueprint for other countries seeking to boost AI adoption while preparing the next generation of workers for an increasingly AI-driven economy.
