The Case for Canada: Making AI Count

Canada is producing world-class AI research and leading firms, but adoption across the economy remains uneven and difficult to measure.

Canada is producing world-class AI research and leading firms, but adoption across the economy remains uneven and difficult to measure. Without credible data on where AI is being used, what it is changing, and which investments are paying off, policymakers and business leaders are making decisions in the dark.

This one-day conference convenes senior leaders from government, academia, and industry to focus on a practical challenge at the centre of Canada’s AI future: how to measure AI adoption and impact in ways that support better policy, smarter investment, and real economic outcomes.

The program is organized around three core pillars:

• The Economics of AI, examining productivity, return on investment, and sector-level impacts
• Measurement Innovation, featuring briefings from Statistics Canada on modernizing AI indicators and data infrastructure
• From Measurement to Action, exploring how evidence translates into business scaling, workforce transitions, and policy design

Through keynote addresses, strategic panels, and an interactive workshop, participants will assess which AI indicators work in practice, which require redesign, and what critical measures are still missing. The conference is designed to produce concrete inputs that inform national reporting, policy tools, and business benchmarking. This is not a general discussion about AI. It is a working forum for the leaders responsible for defining how Canada measures AI adoption, evaluates impact, and turns innovation into economic advantage.

For any questions, please contact Kristy Murray at kmurray@chamber.ca

Event Details:

March 26, 2025

Registration: 8:00 a.m. to 9:00 a.m.

Conference: 9:00 a.m. to 5:00 p.m.

Reception: 5:00 - 7:00 p.m.

TCC Canada, 150 Elgin Street, 8th Floor