Global AI Watch
Sovereign AI Index
A comprehensive tracker of national AI compute capacity, government investment, strategy maturity, and regulatory readiness — updated daily.
Last updated: 18 February 2026 · 24 countries tracked · Cite as: Global AI Watch, “Sovereign AI Index,” global-ai-watch.com/en/sovereign-index, 18 February 2026.
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| # | Country | Region | Tier | Est. H100-equiv GPUs | Govt. AI Investment | Strategy (Year) | Regulation | Sovereign Score | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 🇺🇸United States | Americas | Advanced | ~600,000+ | $60B+ (CHIPS Act + NSF AI) | 2019 (updated 2023) | Sector-led | 97 | |
| 2 | 🇨🇳China | APAC | Advanced | ~500,000* | $15B+ (New Gen AI Plan) | 2017 (updated 2023) | State-directed | 95 | |
| 3 | 🇪🇺European Union | Europe | Advanced | ~80,000 | €20B (AI Factories + Horizon Europe) | 2018 (AI Act 2024) | Risk-based (EU AI Act) | 88 | |
| 4 | 🇬🇧United Kingdom | Europe | Advanced | ~22,000 | £3B (DSIT AI Action Plan) | 2021 (updated 2025) | Pro-innovation | 84 | |
| 5 | 🇦🇪UAE | MENA | Advanced | ~50,000 | $30B+ (G42/MGX 2024) | 2017 | National AI Office | 83 | |
| 6 | 🇨🇦Canada | Americas | Advanced | ~15,000 | CAD $2.4B (AI infrastructure) | 2017 | Voluntary + AIDA bill | 80 | |
| 7 | 🇯🇵Japan | APAC | Advanced | ~12,000 | ¥100B+ | 2019 (updated 2023) | Principles-based | 79 | |
| 8 | 🇫🇷France | Europe | Advanced | ~16,000 | €2B (AI cluster + Mistral) | 2018 (Villani Report) | EU AI Act | 78 | |
| 9 | 🇩🇪Germany | Europe | Advanced | ~14,000 | €3B (AI Made in Germany) | 2018 (updated 2023) | EU AI Act | 77 | |
| 10 | 🇰🇷South Korea | APAC | Advanced | ~20,000 | ₩3T (AI semiconductor +) | 2019 (updated 2023) | Sector-led | 76 | |
| 11 | 🇮🇳India | APAC | Emerging | ~10,000 | ₹10,372 Cr (IndiaAI Mission) | 2018 (NITI Aayog) | Framework in progress | 72 | |
| 12 | 🇸🇦Saudi Arabia | MENA | Emerging | ~20,000 | $40B (Public Investment Fund AI) | 2020 | SDAIA regulation | 71 | |
| 13 | 🇦🇺Australia | APAC | Emerging | ~5,000 | AUD $900M (CSIRO + NCHPC) | 2019 (updated 2023) | Safe & Responsible AI | 69 | |
| 14 | 🇮🇱Israel | MENA | Emerging | ~8,000 | ₪3B | 2021 | Agile/sector-led | 68 | |
| 15 | 🇸🇬Singapore | APAC | Emerging | ~4,000 | SGD $1B (NAIIP) | 2019 (updated 2024) | Model AI Governance | 67 | |
| 16 | 🇳🇱Netherlands | Europe | Emerging | ~6,000 | €204M (NLAIC) | 2019 | EU AI Act | 63 | |
| 17 | 🇸🇪Sweden | Europe | Emerging | ~3,500 | SEK 6B | 2018 | EU AI Act | 61 | |
| 18 | 🇧🇷Brazil | Americas | Emerging | ~3,000 | R$23B (AI Tech Programme) | 2021 | Bill under review | 58 | |
| 19 | 🇿🇦South Africa | Africa | Developing | ~800 | R580M | 2022 | POPIA + AI framework | 47 | |
| 20 | 🇳🇬Nigeria | Africa | Developing | ~200 | ₦5B (NITDA AI Strategy) | 2023 | Draft framework | 38 | |
| 21 | 🇰🇪Kenya | Africa | Early Stage | <100 | KES 500M | 2023 | KCA amendment pending | 33 | |
| 22 | 🇪🇬Egypt | MENA | Developing | ~500 | $300M (MCIT AI Strategy) | 2021 | Data Protection Law | 44 | |
| 23 | 🇦🇷Argentina | Americas | Developing | ~400 | $150M | 2022 | Data privacy law | 41 | |
| 24 | 🇲🇽Mexico | Americas | Developing | ~600 | MXN 4B | 2021 | Federal law in progress | 43 |
🇺🇸United StatesAdvanced
#1📄 Wiki
97
GPUs: ~600,000+
Investment: $60B+ (CHIPS Act + NSF AI)
Strategy: 2019 (updated 2023)
Region: Americas
🇨🇳ChinaAdvanced
#2📄 Wiki
95
GPUs: ~500,000*
Investment: $15B+ (New Gen AI Plan)
Strategy: 2017 (updated 2023)
Region: APAC
🇪🇺European UnionAdvanced
#3📄 Wiki
88
GPUs: ~80,000
Investment: €20B (AI Factories + Horizon Europe)
Strategy: 2018 (AI Act 2024)
Region: Europe
🇬🇧United KingdomAdvanced
#4📄 Wiki
84
GPUs: ~22,000
Investment: £3B (DSIT AI Action Plan)
Strategy: 2021 (updated 2025)
Region: Europe
🇦🇪UAEAdvanced
#5📄 Wiki
83
GPUs: ~50,000
Investment: $30B+ (G42/MGX 2024)
Strategy: 2017
Region: MENA
🇨🇦CanadaAdvanced
#6📄 Wiki
80
GPUs: ~15,000
Investment: CAD $2.4B (AI infrastructure)
Strategy: 2017
Region: Americas
🇯🇵JapanAdvanced
#7📄 Wiki
79
GPUs: ~12,000
Investment: ¥100B+
Strategy: 2019 (updated 2023)
Region: APAC
🇫🇷FranceAdvanced
#8📄 Wiki
78
GPUs: ~16,000
Investment: €2B (AI cluster + Mistral)
Strategy: 2018 (Villani Report)
Region: Europe
🇩🇪GermanyAdvanced
#9📄 Wiki
77
GPUs: ~14,000
Investment: €3B (AI Made in Germany)
Strategy: 2018 (updated 2023)
Region: Europe
🇰🇷South KoreaAdvanced
#10📄 Wiki
76
GPUs: ~20,000
Investment: ₩3T (AI semiconductor +)
Strategy: 2019 (updated 2023)
Region: APAC
🇮🇳IndiaEmerging
#11📄 Wiki
72
GPUs: ~10,000
Investment: ₹10,372 Cr (IndiaAI Mission)
Strategy: 2018 (NITI Aayog)
Region: APAC
🇸🇦Saudi ArabiaEmerging
#12📄 Wiki
71
GPUs: ~20,000
Investment: $40B (Public Investment Fund AI)
Strategy: 2020
Region: MENA
🇦🇺AustraliaEmerging
#13📄 Wiki
69
GPUs: ~5,000
Investment: AUD $900M (CSIRO + NCHPC)
Strategy: 2019 (updated 2023)
Region: APAC
🇮🇱IsraelEmerging
#14📄 Wiki
68
GPUs: ~8,000
Investment: ₪3B
Strategy: 2021
Region: MENA
🇸🇬SingaporeEmerging
#15📄 Wiki
67
GPUs: ~4,000
Investment: SGD $1B (NAIIP)
Strategy: 2019 (updated 2024)
Region: APAC
🇳🇱NetherlandsEmerging
#16📄 Wiki
63
GPUs: ~6,000
Investment: €204M (NLAIC)
Strategy: 2019
Region: Europe
🇸🇪SwedenEmerging
#17📄 Wiki
61
GPUs: ~3,500
Investment: SEK 6B
Strategy: 2018
Region: Europe
🇧🇷BrazilEmerging
#18📄 Wiki
58
GPUs: ~3,000
Investment: R$23B (AI Tech Programme)
Strategy: 2021
Region: Americas
🇿🇦South AfricaDeveloping
#19📄 Wiki
47
GPUs: ~800
Investment: R580M
Strategy: 2022
Region: Africa
🇳🇬NigeriaDeveloping
#20📄 Wiki
38
GPUs: ~200
Investment: ₦5B (NITDA AI Strategy)
Strategy: 2023
Region: Africa
🇰🇪KenyaEarly Stage
#21📄 Wiki
33
GPUs: <100
Investment: KES 500M
Strategy: 2023
Region: Africa
🇪🇬EgyptDeveloping
#22📄 Wiki
44
GPUs: ~500
Investment: $300M (MCIT AI Strategy)
Strategy: 2021
Region: MENA
🇦🇷ArgentinaDeveloping
#23📄 Wiki
41
GPUs: ~400
Investment: $150M
Strategy: 2022
Region: Americas
🇲🇽MexicoDeveloping
#24📄 Wiki
43
GPUs: ~600
Investment: MXN 4B
Strategy: 2021
Region: Americas
Methodology Notes
- H100-equivalent GPU estimates are derived from official government announcements, data-centre capacity reports, and publicly filed procurement notices. Classified or undisclosed military compute is excluded.
- Government investment figures reflect announced public funding commitments; private sector investment is excluded unless government co-investment is confirmed.
- The Sovereign Score is a composite index weighted: compute capacity 40%, announced investment 25%, strategy maturity 20%, regulatory readiness 15%. Scores are calibrated quarterly.
- China GPU figure marked (*) due to US export control restrictions on H100/A100; domestic Huawei Ascend and other equivalents are partially included in the estimate.
- European Union figures represent aggregate EU-level programmes; individual member state entries (France, Germany, Netherlands, Sweden) reflect national-level spending and compute in addition to EU shared infrastructure.
- This index is for informational purposes only. It does not constitute investment, policy, or strategic advice. See our methodology and corrections policy.
Citing This Index
For Wikipedia and academic use, the recommended citation format is:
{{cite web
| title = Sovereign AI Index
| publisher = Global AI Watch
| url = https://global-ai-watch.com/en/sovereign-index
| access-date = 18 February 2026
| date = 18 February 2026}}💡 Click any country row to generate a full per-country Wikipedia Reference Node article with citation code.