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Canada

#11 globally

Americas

·

#2 in Americas

Positive(+3)
0/ 100

AI Readiness Score

Readiness = capacity to build AI · Adoption = AI actually in use today

📊

Readiness Score

Can this country build AI?

73/100
Positive(+3)
🚀

Adoption Score

Is this country using AI now?

73/100
High Adoption

Canada is deploying AI roughly in line with its readiness capacity.

Readiness vs Adoption — Radar

Blue = readiness capacity · Green = active adoption · Each axis pairs the closest dimension from each framework

Pillar Scores

Infrastructure15/20
Talent16/20
Governance15/20
Investment13/20
Economic Readiness14/20

Adoption Dimension Breakdown

High Adoption
Government DeploymentWeakest
14/20
Enterprise Adoption
15/20
Talent DemandWeakest
14/20
Consumer UsageWeakest
14/20
R&D PipelineStrongest
16/20

Deep AI research clusters in Toronto and Montreal translate into growing enterprise and government adoption.

Trajectory Outlook

76
/100

by 2028

73 now+3 pts

Top Accelerator

Deep-rooted AI research heritage (Hinton/Bengio) and proximity to the US AI ecosystem

Top Risk

Persistent brain drain of top AI talent to significantly higher US compensation

Pillar Detail

Click any pillar to see supporting indicators and evidence

AI Analysis

via OpenRouter

Current State · Trajectory · Outlook

Click “Generate AI Analysis” for a strategic assessment of Canada's AI trajectory.

AI Development Roadmap

Algorithmic roadmap based on pillar scores · Updated with live data

Acceleration Phase

Canada is in the Acceleration Phase

Deploying AI at scale across key sectors. On current trajectory, Canada enters the Leadership phase by 2028 (projected score: 76/100).

2028 Timeline

Now

Score 73

2

2025–26

AI deployed across 3+ key sectors

3

2026–27

Sovereign AI compute capacity online

4

2028

International AI partnerships active

Priority Actions — 3 Weakest Pillars

Investment & R&D
13/20
Near

Anchor a global AI investment hub with special economic zone incentives

Mid

Co-invest with pension funds in frontier AI labs and semiconductor supply chain

Economic Readiness
14/20
Near

Leverage high productivity base to fund AI adoption subsidies for SMEs

Mid

Position as regional AI services hub; target $1B+ in AI-related services exports

Digital Infrastructure
15/20
Near

Upgrade backbone to sub-10ms latency for AI inference workloads

Mid

Establish distributed GPU cluster available to domestic researchers and startups

Roadmap generated algorithmically from pillar scores and World Bank data. Actions are indicative policy priorities, not official government plans.

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