Canada's AI for All plan is a six-pillar national strategy with a $200-billion ambition. We turned the targets, the money, the companies and the map into something you can actually read.
Source: AI for All strategy, Government of Canada - announced June 4, 2026.
The country has world-class talent, deep capital and a clean power grid - but it's among the slowest in its peer group to put AI to work. Here's the snapshot the strategy starts from.
Figures are from the strategy document. The $187B generative-AI estimate is a Microsoft/Accenture projection (2024) cited by the strategy, not a government forecast.
Canada has world-class talent but is among the slowest in its peer group to adopt AI at scale. The strategy's whole economic case rests on closing that gap fast - a fivefold rise in eight years.
Endpoints (≈12% today, 60% by 2034) are official. The curve between them is illustrative.
The gap isn't talent - it's deployment. Among peer economies, the share of small businesses actually using AI puts Canada near the back.
Figures from the strategy document. "Nordic leaders" shown at the top of the 29–42% range.
Beyond the headline ambition, the strategy names specific programs. Each slice is one commitment - hover any of them to break it down.
Named new program commitments from the strategy document - not an exhaustive budget table. Shown separately: larger pools the plan leverages rather than new line items.
Six pillars sit under three values. Filter to see how trust, opportunity and sovereignty each get built.
Five sectors act as focal points where investment can deliver both commercial success and sovereign resilience - with dual-use defence applications prioritised.
Sovereignty means Canadian data on Canadian infrastructure. A build-partner-buy approach backs a public supercomputer and domestic capacity - on a grid that's 83% non-emitting.
Capacity targets are from the strategy; interim-year values are illustrative. Canada is projected to need ~5.5 GW of commercial AI compute by 2030.
AI activity isn't evenly spread. The national institutes anchor three hubs - Toronto, Montréal and Edmonton. Click a region to drill in.
Regional intensity is illustrative sample data for this mockup.
Over 3,500 firms and 150,000 people already build AI in Canada. The strategy names them up and down the stack - from applications to the clean-power grid underneath.
Before a word was written, the largest public consultation in ISED's history asked Canadians how to get AI right.
Sector shares are of the 1,860 respondents who indicated a sector.