The AI Advantage Canada Already Has
A lot of the AI conversation still sounds like a race to the frontier - and in large part it is - we hear about bigger models, more compute, more capital and scale. And Canada should stay connected to that race. But I do not think that is where Canada’s real advantage will be found.
Canada already has something harder to build than compute.
It has strong institutions most people trust. Our public service tradition is built around collective benefit and we have systems of governance that have learned, sometimes imperfectly, how to coordinate across jurisdictions. We have a beautifully multicultural society with deep experience navigating difference.
None of that shows up in a GPU count and it all matters enormously for what comes next.
The countries and organizations that extract durable value from AI will not just be the ones that build the most powerful models. They will be the ones that can adopt deliberately, govern thoughtfully, and deploy in ways that earn and sustain public trust. That is a different kind of race. And it is one Canada is positioned to run well.
Canada already has meaningful strengths in AI research: depth, talent, clusters, and growing attention on domestic capability. But national advantage will not be determined only by whether Canada participates at the frontiers of technology. It will also be determined by whether more firms, institutions, and sectors can turn AI into practical capability and real economic value.
Where Canadian Strengths Become Economic Advantage
The tech frontier gets the headlines. But productivity, resilience, and competitive advantage are built somewhere less glamorous: in the part of the economy where technical capability becomes something useful. The space where institutions, companies, and public services try to turn AI into better decisions, better services, stronger productivity, and more durable value. It is where adoption either sticks or stalls. It is where process, data, trust, skills, and operating discipline matter more than hype.
That is also where we need to be honest about value. Organizations will define value differently. For some, it will be productivity. For others, it may be better service, faster decisions, lower risk, or stronger resilience. What matters is defining it clearly before adopting AI or agentic tools. If we are not sure what we are trying to improve, we will only get activity, and maybe only that. An economy does not get stronger simply because more pilots are launched or more tools are purchased. It grows when investment and adoption is tied to clear outcomes, when organizations know what they are trying to improve, and when they have the data, processes, and people to make those tools work in practice.
Talent matters just as much, and maybe even more.
Canada’s AI opportunity will not be won only through elite researchers or a handful of advanced firms. It will also be won through people who know how to use the tools well, question the outputs, and apply them in real settings. That means stronger partnerships between employers, governments, colleges, and universities to help shape the next generation of talent. It means building AI literacy, critical thinking, and practical judgment into the way we prepare people for work.
Canada will benefit from more adaptable, T-shaped talent: people with enough depth to contribute meaningfully, and enough breadth to move across disciplines, sectors, and changing environments. This is not a single industry or a single function. It is where technical capability meets business process, public service, sector knowledge, regulation, procurement, and user experience. It needs specialists, but it also needs people who can connect the dots.
Our opportunities are genuinely exciting.
We are at a moment where AI can meaningfully improve how public services are delivered, how workers do their jobs, how decisions get made, and how institutions serve the people who depend on them. That is not hype. That is a real and achievable possibility for a country with Canada’s institutional foundations, its talent, and its commitment to inclusive outcomes. This is a moment to move with confidence and intention.
Canada’s AI advantage is not waiting to be invented. It is waiting to be used.
Views are my own and shared in a personal capacity.