Top 10 Nations Powering the AI Economy
1. United States 0.0
2. China 0.0
3. United Kingdom 0.0
4. Germany 0.0
5. Canada 0.0
6. France 0.0
7. South Korea 0.0
8. Israel 0.0
9. Japan 0.0
10. Singapore 0.0
Undisputed leader in investments, number of companies (OpenAI, Anthropic, NVIDIA, Google, Microsoft), startups, research publications, and commercial maturity of its AI ecosystem.
Powerful internal ecosystem focused on sovereign models (Baidu, Alibaba, Huawei), with an active national AI strategy and large-scale implementation in infrastructure, defense, and education.
Europe’s top AI research hub (DeepMind, Stability AI), with world-class universities (Oxford, Cambridge) and a strong national strategy on AI safety and regulation.
Focus on industrial AI (Siemens, SAP), generative tech in manufacturing, a strong academic base, and leadership in EU-level AI policy.
Birthplace of transformers (Toronto, Montreal), a thriving research scene (Mila, Vector Institute), influence of Yoshua Bengio, and robust public investments in AI.
AI deeply embedded in electronics, media, and appliances (Samsung, LG); high digital literacy and strong implementation in education and healthcare.
Rapidly growing sector backed by the government (Mistral AI, Inria), emphasis on open source and sovereign AI development within the EU.
Strong deep tech and defense AI sector, promising startups, both military and civilian AI applications, and robust venture capital support.
Focus on robotics, smart transportation, and automation. Companies like Sony and NEC develop their own AI models integrated into business and government systems.
Small but highly strategic nation: national AI strategy, international conferences, AI in public services, and a vibrant startup ecosystem.
Methodology of Evaluation
Core Criteria
Quantity and quality of AI publications, citation levels, international benchmark rankings, university and lab activity.
Development of national AI companies, LLMs, startups, infrastructure, and access to AI platforms and services.
Presence of a national AI strategy, public investment volume, dedicated AI agencies, and initiatives in education, safety, and infrastructure.
Number of skilled tech and AI professionals, university programs, graduate and PhD-level tracks, and specialized AI academies.
Real-world implementation of AI in healthcare, education, justice, transportation, defense, and public services. Level of digital maturity and AI penetration.
Additional Indicators
Contributions to open source: number of public models, libraries, and frameworks (e.g., Hugging Face, EleutherAI).
Regulatory frameworks, national AI constitutions, participation in OECD AI, AI Safety Summit, and ethical initiatives.
Export of AI solutions, involvement in global alliances, influence on international AI policy.
Engagement of private sector in accelerators, innovation centers, and strategic partnerships with governments.
Public trust in AI, participation in global indexes like Government AI Readiness, Stanford AI Index, and Oxford Insights.
Our Scoring Approach
We combine both qualitative and quantitative indicators.
The ranking is built on public data, regularly updated, and reviewed through consultations with independent experts.