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

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 and a global reputation in modern AI. The gains will depend on adoption - especially among SMEs, public institutions and the sectors that make up the bulk of the economy. Think of it as an AI adoption blueprint for you and your organization. Further RBC Thought Leadership Reading: Bridging the Imagination Gap: How Canadian companies can become global leaders in AI adoption - RBC Turning Disruption into Momentum: Manulife’s AI Flywheel Trust, Scale, and Strategy: How to Build an AI-First Organization From Rock to ROI: How Calgary’s GeologicAI Turns Core Samples into Knowledge Sovereign by Design: Strategic Options for Canadian AI Sovereignty RBC Thought Leadership Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.