Machinepower Index / Dossiers / Canada
Rank 3–8 across the scoring rules tested. How this is tested
Canada
Specialist Power — For nations among the world's best at something the frontier needs but could find elsewhere: keep earning the lead before others catch up, and trade expertise for access.
How the Score, Potential and bottleneck cost are worked out: methodology.
The three layers
Energy, grids, data centres and silicon — the physical capacity to run models at scale.
Compute tracked by Epoch AI: Canada controls 1,300 H100-equivalents, wherever the sites are; has 2,800 on its soil with the owner not reported. Hosted compute is shown, not scored.
Models, alignment capability, standards influence and the talent that produces them.
The capacity to wire AI into the state and the economy while holding public consent.
Where the score comes from
| Layer | Sub-dimension | Basis | Score |
|---|---|---|---|
| Watts | Planning & Permitting | Assessed | 7.2 |
| Firm Power Capacity | Dataset | 6.4 | |
| Sovereign Compute | Dataset | 5.4 | |
| Hardware & Silicon Access | Dataset | 5.3 | |
| Weights | Frontier Model Output | Assessed | 5.2 |
| Alignment Capability | Assessed | 8.0 | |
| Regulatory Standing | Dataset | 7.7 | |
| Talent Density | Dataset | 7.0 | |
| Will | Policy Capacity | Dataset | 9.3 |
| Public Sector Adoption | Dataset | 7.9 | |
| Workforce Transition | Dataset | 8.7 | |
| Public Trust | Dataset Sources differ | 5.2 |
Assessed marks a measurement we judged rather than took from a dataset: 3 of the 12 here.
Sources differ marks a cell where two sources disagree by more than a point. Public Trust: Ipsos and Melbourne/KPMG differ by more than a point (4.4 against 5.4); the cell is their average.
Sources
Share of adults agreeing that products and services using AI have more benefits than drawbacks; the Index scores public trust as 1 + share ÷ 10. Survey of 23,532 adults across 32 countries, March to April 2026.
View source →Toronto-based Cohere ships near-frontier enterprise models: Command A, the open-weight Command A+ (May 2026) and North Mini Code (June 2026). In April 2026 it agreed to merge with Germany's Aleph Alpha, with both governments' support, keeping the combined company in Toronto.
View source →Canada's Sovereign AI Compute Strategy funds domestic compute (AI Compute Challenge, public supercomputing, AI Compute Access Fund); the national 'AI for All' strategy launched June 2026.
View source →Cohere's Command models remain Canada's flagship sovereign enterprise foundation series in Epoch's continuously updated database.
View source →The 2026 AI Index records 29.6% of Canadian AI researchers as female, among the highest shares measured. Canada sustains elite research density through Mila, the Vector Institute and Amii, though talent migration to US labs remains the structural constraint.
View source →Used for the workforce measurement. The IMF combines schooling, pay, labour mobility and active labour-market policies; the Index rescales it so the weakest of 173 economies scores 0 and the strongest 10.
View source →A cross-check for planning and permitting, which stays assessed: it scores building permits and electricity connections for ordinary firms, not grid-scale connections for data centres.
View source →A cross-check for alignment, which stays assessed. The Research Almanac counts English-language research only, so it understates Japanese, Korean and Chinese work.
View source →Fossil, nuclear, hydro and other dispatchable plant; averaged with generation for firm power.
View source →Second source for talent, averaged with Stanford's count.
View source →Second source for public trust, averaged with Ipsos.
View source →Capital is shown beside the Score, not scored.
View source →Half of public trust: support for building more data centres, scored as 1 + share ÷ 10 and averaged with trust in AI.
View source →Bottlenecks
These hold Canada below its Potential. Its two lowest scores cost it the most: frontier model output at 5.2 (part of Weights) and public trust at 5.2 (part of Will).
Assessment
Canada is a research powerhouse, home to the pioneers of deep learning. Its challenge is preventing "brain drain" to the US and translating its academic lead into industrial machinepower.
The art of the possible
Canada invented much of modern deep learning; its upside is keeping what it creates. Sovereign compute investment plus retention incentives for its research diaspora would let hydro-rich Quebec and its world-class labs compound at home instead of in California.
Strategic play — Specialist Power
Keep what it invents: sovereign compute on Quebec hydro and retention incentives for the research diaspora, so the labs the field still runs on compound at home rather than in California, and Canada becomes a trusted second supplier of allied compute instead of a talent pipeline to someone else's.
Leverage — the nearest position. No chokepoint. Its leverage is softer: hydro and uranium for firm power, and a research lineage the field still runs on. The realistic position is trusted second supplier of allied compute — valuable, but nobody needs a licence to leave.
Open Canada in the live Index → — every source behind every number, and the comparison tool.