Readiness
73/100Capacity across five enabling pillarsAmericas · #2 in region
Canada
AI Readiness Score
Limited coverageiCoverage describes source availability, not statistical certainty.
- Live
- 0/23
- Years
- Not reported
- Fallback
- 100%
SATURDAY, OCT 31, 20262026 EDITION · 17 INDICATORS
VOL. III · 2026 EDITION
The AI Trajectory IndexMenu
Executive summary
Current standing, trajectory, and source coverage.
Readiness and Adoption
Capacity to build AI compared with evidence of AI use today.
Adoption
73/100High AdoptionTrajectory
+3/10PositiveReadiness vs Adoption: Radar
Blue = readiness capacity · Green = active adoption · Each axis pairs the closest dimension from each framework
| Dimension pair | Readiness | Adoption |
|---|---|---|
| Infra / Gov | 15/20 | 14/20 |
| Talent / Demand | 16/20 | 14/20 |
| Governance / Enterprise | 15/20 | 15/20 |
| Investment / Pipeline | 13/20 | 16/20 |
| Economy / Consumer | 14/20 | 14/20 |
Pillar evidence
Scores, supporting evidence, and the exact inputs behind each contribution.
Infrastructure
Major AWS, Azure, and Google Cloud Canadian regions operational in Toronto and Montreal
- Vector Institute (Toronto) and Mila (Montreal) operate dedicated AI research compute clusters
- Solid 5G rollout from Rogers and Bell; competitive broadband infrastructure nationwide
View score inputs
| Input | Value | Year | Source | Contribution | Status |
|---|---|---|---|---|---|
| Fixed broadband subscriptionsFixed broadband subscriptions unavailable; used 6/20 of the static Infrastructure baseline. | Not available | Not reported | World Bank Open Data | 4.5 / 6 pts | Fallback |
| Individuals using the internetIndividuals using the internet unavailable; used 3/20 of the static Infrastructure baseline. | Not available | Not reported | World Bank Open Data | 2.3 / 3 pts | Fallback |
| Mobile subscriptionsMobile subscriptions unavailable; used 3/20 of the static Infrastructure baseline. | Not available | Not reported | World Bank Open Data | 2.3 / 3 pts | Fallback |
| Access to electricityAccess to electricity unavailable; used 3/20 of the static Infrastructure baseline. | Not available | Not reported | World Bank Open Data | 2.3 / 3 pts | Fallback |
| Infrastructure quality baselineInfrastructure quality baseline unavailable; used 5/20 of the static Infrastructure baseline. | Not available | Not reported | AI Trajectory Index | 3.8 / 5 pts | Fallback |
Talent
Geoffrey Hinton (Toronto) and Yoshua Bengio (Montreal) — two of three AI 'Godfathers' based here
- University of Toronto, McGill, and Université de Montréal attract top global AI PhD students
- Global Skills Strategy visa enables rapid hiring of international AI talent
View score inputs
| Input | Value | Year | Source | Contribution | Status |
|---|---|---|---|---|---|
| Gross tertiary enrolmentGross tertiary enrolment unavailable; used 6/20 of the static Talent baseline. | Not available | Not reported | World Bank Open Data | 4.8 / 6 pts | Fallback |
| Labour productivityLabour productivity unavailable; used 6/20 of the static Talent baseline. | Not available | Not reported | World Bank Open Data | 4.8 / 6 pts | Fallback |
| ResearchersResearchers unavailable; used 2/20 of the static Talent baseline. | Not available | Not reported | OECD Data Explorer | 1.6 / 2 pts | Fallback |
| Global Innovation IndexGlobal Innovation Index unavailable; used 1/20 of the static Talent baseline. | Not available | Not reported | World Intellectual Property Organization | 0.8 / 1 pts | Fallback |
| Talent quality baselineTalent quality baseline unavailable; used 5/20 of the static Talent baseline. | Not available | Not reported | AI Trajectory Index | 4.0 / 5 pts | Fallback |
Governance
Artificial Intelligence and Data Act (AIDA), tabled in Bill C-27 in 2022, died on the order paper in January 2025; no federal AI-specific law is in force
- Voluntary Code of Conduct for Generative AI adopted by major Canadian AI companies
- Pan-Canadian AI Strategy (2017, renewed with $443M in Budget 2021) coordinates government, academia, and industry AI development
View score inputs
| Input | Value | Year | Source | Contribution | Status |
|---|---|---|---|---|---|
| Rule of LawRule of Law unavailable; used 5/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 3.8 / 5 pts | Fallback |
| Government EffectivenessGovernment Effectiveness unavailable; used 4/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 3.0 / 4 pts | Fallback |
| Regulatory QualityRegulatory Quality unavailable; used 3/20 of the static Governance baseline. | Not available | Not reported | Worldwide Governance Indicators | 2.3 / 3 pts | Fallback |
| National AI strategyNational AI strategy unavailable; used 3/20 of the static Governance baseline. | Not available | Not reported | OECD.AI Policy Observatory | 2.3 / 3 pts | Fallback |
| AI strategy recencyAI strategy recency unavailable; used 2/20 of the static Governance baseline. | Not available | Not reported | OECD.AI Policy Observatory | 1.5 / 2 pts | Fallback |
| AI regulation in forceAI regulation in force unavailable; used 1/20 of the static Governance baseline. | Not available | Not reported | OECD.AI Policy Observatory | 0.8 / 1 pts | Fallback |
| Government AI readinessGovernment AI readiness unavailable; used 2/20 of the static Governance baseline. | Not available | Not reported | Oxford Insights | 1.5 / 2 pts | Fallback |
Investment
Growing VC ecosystem but structurally smaller than US — many late-stage deals require US capital
- Government investment through CIFAR, NRC-IRAP, and SDTC supports early-stage AI
- Brain drain to higher-paying US positions remains a persistent challenge for retention
View score inputs
| Input | Value | Year | Source | Contribution | Status |
|---|---|---|---|---|---|
| R&D expenditureR&D expenditure unavailable; used 6/20 of the static Investment baseline. | Not available | Not reported | OECD Data Explorer, then World Bank Open Data | 3.9 / 6 pts | Fallback |
| FDI net inflowsFDI net inflows unavailable; used 5/20 of the static Investment baseline. | Not available | Not reported | World Bank Open Data | 3.3 / 5 pts | Fallback |
| Government expenditureGovernment expenditure unavailable; used 3/20 of the static Investment baseline. | Not available | Not reported | IMF DataMapper | 2.0 / 3 pts | Fallback |
| Capital ecosystem baselineCapital ecosystem baseline unavailable; used 6/20 of the static Investment baseline. | Not available | Not reported | AI Trajectory Index | 3.9 / 6 pts | Fallback |
Economic Readiness
Financial services, natural resources, and healthcare sectors driving enterprise AI adoption
- Deep economic integration with US creates natural cross-border AI product market
- Strong regulatory alignment with US/EU frameworks reduces international compliance friction
View score inputs
| Input | Value | Year | Source | Contribution | Status |
|---|---|---|---|---|---|
| GDP per capita, PPPGDP per capita, PPP unavailable; used 6/20 of the static Economic Readiness baseline. | Not available | Not reported | World Bank Open Data | 4.2 / 6 pts | Fallback |
| Private-sector creditPrivate-sector credit unavailable; used 3/20 of the static Economic Readiness baseline. | Not available | Not reported | World Bank Open Data | 2.1 / 3 pts | Fallback |
| Trade opennessTrade openness unavailable; used 3/20 of the static Economic Readiness baseline. | Not available | Not reported | World Bank Open Data | 2.1 / 3 pts | Fallback |
| Services value addedServices value added unavailable; used 3/20 of the static Economic Readiness baseline. | Not available | Not reported | World Bank Open Data | 2.1 / 3 pts | Fallback |
| Market capacity baselineMarket capacity baseline unavailable; used 5/20 of the static Economic Readiness baseline. | Not available | Not reported | AI Trajectory Index | 3.5 / 5 pts | Fallback |
| Government debt modifierGovernment debt modifier unavailable; no score adjustment was applied. | Not available | Not reported | IMF DataMapper | 0.0 / 0 pts | Fallback |
Outlook and policy gaps
Forward direction, constraints, and a structured country brief.
Projected 2028
78/100+5 points from todayTop accelerator
Deep-rooted AI research heritage (Hinton/Bengio) and proximity to the US AI ecosystemTop risk
Persistent brain drain of top AI talent to significantly higher US compensationFive-section brief
Country research brief
Generate a concise review of standing, infrastructure and talent, governance, investment, and economic outlook.
News and supporting tools
Recent signals, comparable economies, and optional analysis controls.
Live AI News Feed
The Guardian · Google News · Updated hourly
Comparable countries
Nearest neighbours across the five readiness pillars.
Analysis toolsWhat-if model, roadmap, AI Q&A, embed, and print controls
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: 78/100).
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
13/20Near
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
14/20Near
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
15/20Near
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.