This House of Commons committee meeting on artificial intelligence, data sovereignty and strategic industrial sectors heard from Hamza Jahangir of Oracle, Carole Piovesan of INQ Law, Kulbir Colin Singh Dhillon of the Centre for Designing Change, Stephanie Simmons of Photonic Inc., Daniel Perry and Laurent Carbonneau of the Council of Canadian Innovators, and Simon Ahdoot of Hypertec Group Inc.
Hamza Jahangir said Canada should prioritize trusted data foundations, sovereignty and security by design, and enabling adoption at scale, especially for small and medium-sized businesses. He recommended policies for secure data integration and auditability, and suggested expanding skills development and certification pathways, noting that Oracle operates cloud regions in Canada and supports sovereign cloud options.
Carole Piovesan recommended modernizing Canada's federal privacy law, building a Canadian AI assurance market with accredited auditors and testing labs, and making AI safety Canada's signature contribution. She argued that governance without verification is aspiration, and that an assurance market would turn accountability into a competitive advantage, while noting that provincial coordination is needed to avoid fragmentation.
Kulbir Colin Singh Dhillon said Canada has an AI translation problem, not a research problem, and is not structured to lead in physical AI and humanoid robotics, where China is currently winning. He recommended national policies on AI and physical AI to accelerate adoption, and warned that without domestic capability, Canada risks relying on foreign systems in strategic sectors like manufacturing and mining.
Stephanie Simmons said quantum technologies will complement and accelerate AI, offering exponential speed-ups and far greater power efficiency, and that the industry will arrive within a few years. She recommended that Canada support its quantum companies through responsible policies, programs and funding, and act as an early adopter and strategic anchor customer to avoid repeating the pattern of commercializing technologies abroad.
Daniel Perry said Canada has not translated AI leadership into scalable companies, and recommended enabling Canadian firms to scale here, building sovereign AI infrastructure, and focusing on high-value applications. He argued that public procurement is a powerful tool not being leveraged properly, and that the delay in releasing Canada's AI strategy is putting firms behind, while Laurent Carbonneau added that making public sector data available to Canadian innovators would create a unique selling point.
Simon Ahdoot said AI can fill a productivity gap and that Canada has an opportunity to become a net producer of AI services, not just a consumer. He recommended fostering infrastructure and systems to deliver applications, and noted that government procurement can help Canadian firms mature and become more competitive internationally, while raising awareness of domestic brands is also important.
The committee heard questions from members on topics including regulatory frameworks, data sovereignty, job displacement, procurement and the need for a national AI strategy. No procedural debate, motions or votes occurred during this meeting.
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