Setting a target to become the "Best AI country in the world" is meaningless.
AI is a tool — successful adoption will be defined not by quantity of use but by applying that tool to problems with measurable outcomes. The questions around the roll out of AI are not whether Canada leads in AI per se, but whether Canadians get faster healthcare, better education, and stronger defence.
The way to approach this is by setting aspirational, measurable, high impact goals i.e. moonshots. Moonshots work because they force system-wide change. A single bold target—like cutting healthcare wait times by 90%—requires redesigning every part of the system with the latest technology to reduce redundancy and increase productivity. Governments are uniquely positioned to lead these efforts because they can coordinate across agencies, provinces, and sectors in ways the private sector cannot.
Successful moonshots have five qualities: they are ambitious, benefit many Canadians, require AI to succeed, build infrastructure other projects can use, and cannot be delivered by the private sector alone.
If Canada were to achieve the five moonshots, we would become a world leader in these services and transform our infrastructure for adopting AI:
1. Healthcare: Cut referral-to-treatment time by 90% using AI for triage, scheduling, and early detection.
2. Education: Reduce Grade 3 reading failure by 90% through adaptive screening, personalized tutoring, and teacher support tools.
3. Natural Resources: Shrink wildfire and oil spill response time by 90% using sensor networks, drone verification, and AI dispatch.
4. Defence: Reduce time to detect and classify airspace or maritime incursions by 90% through multi-sensor fusion and automated tracking.
5. Homelessness: Cut the time from first contact to stable housing by 90% by integrating shelter data, benefits systems, and housing matching.
Read the full memo:
buildcanada.com/memos/moonsh…