Hub Podcasts How Canada can catch up in the race towards AI adoption
Jul 8, 2025
Join John Stackhouse, RBC's senior VP, Janice Stein from the Munk School, and Jaxson Khan, CEO of Aperture AI, as they explore Canada's AI landscape. They tackle the challenges of slow adoption despite strong research, emphasizing the need for public policy support. The trio discusses the importance of digital infrastructure, workforce retraining, and enhancing AI literacy. They also highlight innovative case studies and the need for new metrics to measure success, making a compelling case for Canada to step up in the global AI race.
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Canada's AI Adoption Gap
- Canada's AI adoption lags despite global leadership in AI research.
- Hesitation and risk aversion among firms, especially SMEs, contribute significantly to this gap.
AI First-Mover Advantage Crucial
- First-mover advantage in AI is critical; waiting to copy others may result in no benefits.
- Cultural shifts are needed as status quo adoption is unsustainable given AI's pace.
Reduce Fear with AI Play
- Encourage experimentation by reducing fear and promoting "play" with AI, especially in SMEs.
- Demonstrating clear benefits from AI use cases helps overcome cultural resistance to adoption.