Permission To Prompt: AI’s Path From Experimentation to Scale

Permission To Prompt: AI’s Path From Experimentation to Scale

From Disruptors by RBC Thought Leadership, John Stackhouse

June 2, 2026 · 28 min · Season 10 · Episode 11

About this episode

The episode discusses AI's impact on work, productivity, and Canada's competitiveness with insights from industry experts.

AI is no longer a future technology. It is already changing how work gets done, how companies make decisions and how economies compete. This special edition of Disruptors was recorded at the Creative Destruction Lab’s Super Session during Toronto Tech Week. Host John Stackhouse is joined by Fabien Curto Millet, Chief Economist at Google and Sonia Sennik, CEO of Creative Destruction Lab, to explore AI adoption, productivity, jobs and Canada's competitiveness. Fabien brings a global view of AI adoption: where the data is showing productivity gains, why the jobs conversation is more nuanced than the headlines suggest, and why simple interventions like training, guidelines and encouragement can unlock experimentation. Sonia brings the founder and commercialization lens from CDL, where hundreds of science-based startups are working across AI, health, energy, agriculture, manufacturing and more. Together, they explore why AI is moving fast but unevenly, why some sectors and workers are pulling ahead while others remain cautious, and what leaders need to do to move from pilots to scaled workflow redesign. For Canada, the test is clear: the country has deep AI talent, strong institutions…

People in this episode

Host: John Stackhouse

Guests: Fabien Curto Millet, Sonia Sennik

Topics covered

  • AI adoption
  • productivity
  • jobs
  • Canada's competitiveness
  • technology
  • entrepreneurship

Keywords

  • AI
  • productivity gains
  • job market
  • Canada
  • technology adoption
  • Creative Destruction Lab
  • Google
  • SMEs
  • work redesign

Mentioned in this episode

Organizations: Google, Creative Destruction Lab

Places: Canada, Toronto

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