OECD.AI Index
AI sits prominently on global policy agendas, creating growing demand for robust, internationally comparable metrics to guide policy decisions. The OECD.AI Index responds to this need by helping policymakers assess national AI ecosystems, identify strengths and gaps, and track progress in supporting AI innovation and diffusion while promoting trustworthy AI. The Index combines existing AI-specific indicators from the OECD.AI Policy Observatory with newly developed metrics to provide a holistic view of national AI ecosystems. It is structured around five components, aligned with the five recommendations for policymakers set out in the OECD AI Principles. Each component is further broken down into sub-components that capture the measurable aspects of the corresponding policy recommendation. Their sub-component can include one or more indicators - quantitative metrics used to track and assess performance within that sub-component.
Loading...
National policy recommendations and the AI Principles
The OECD.AI Index is uniquely anchored in the ten OECD AI Principles for Trustworthy AI, adopted by OECD governments and endorsed by partner economies. The OECD AI Principles were initially adopted in 2019 and updated in May 2024. Adherents updated them to consider new technological and policy developments, ensuring they remain robust and fit for purpose. The Index currently covers OECD Member countries and aims to progressively expand its coverage to other adherents to the OECD AI Principles as comparable data become available.
OECD.AI Index structure
- AI Research
& development
- AI research output
- AI innovations
- AI models development
- AI enabling
infrastructure
- Accessibility
- Data
- Compute infrastructure
- Policy
environment
- Government use
- Investment
- AI governance
- Jobs and skills
- Skill demand
- Skills supply
- Knowledge
- International
cooperation
- International AI initiatives
- International AI standards
- Research cooperation
Background
The OECD.AI Index was developed through extensive consultation with AI experts across stakeholder groups, partner organisations and statistical bodies worldwide to support its methodological soundness, comprehensiveness and broad acceptance. The expert group provided policy and measurement expertise throughout the development process, meeting eight times over two years. An internal OECD Steering Group, comprising representatives from OECD Directorates working on AI, also contributed to its development. The methodology and results were presented to the Working Party on Artificial Intelligence Governance (WPAIGO) on five occasions. The expert group on the OECD.AI Index was composed of experts from WPAIGO, ONE.AI experts, experts from the Working Party on Measurement and Analysis of the Digital Economy (WPMADE), OECD Development Cooperation Directorate (DAC), Directorate for Financial and Enterprise Affairs (DAF), the Patrick J. McGovern Foundation (PJMF), Oxford Said Business School, the European Commission’s Joint Research Center (JRC); Stanford Institute for Human-Centered AI (HAI); the Center for Security and Emerging Technology (CSET) and Université Paris-Dauphine.
FAQs
The OECD.AI Index supports the ongoing monitoring of the implementation of the OECD AI Recommendation. It combines quantitative and qualitative metrics into a composite indicator, enabling systematic cross-country comparisons across the OECD AI principles and policy areas. Drawing on available AI-specific data, it helps countries identify relative strengths and areas for improvement. The Index is not intended as a country ranking. Nor does it provide an absolute measure of implementation or prescribe which policies countries should adopt. Its findings should be interpreted in light of national contexts and policy priorities. The Index does not measure overall AI readiness or digital maturity. It focuses on AI-related policies, institutions and other dimensions relevant to implementing the OECD AI Recommendation, using AI-specific data wherever available. The OECD.AI Index is updated each year as new data become available. As the indicators and data may change from one year to the next, year-to-year changes in the Index should be interpreted with care.
The Index results are meant to identify relative strengths and areas for improvement across countries. This platform is split into 3 sections. The Overview page gives context and methodological information about the Index and its construction. The Components page dives into each of the components of the Index, which in turn are designed to reflect one of the five national policy recommendations for trustworthy AI. Finally, a Country profiles page provides the opportunity to dig deeper into country-specific details and results. Most of the underlying data can be further explored in our Live data section, and specific links can be found in the Components page.
If you are using the Index data and results, the citation information can be found at the bottom of the visualisations, and will be of the following form: OECD.AI (2026), data from OECD.AI Index, last updated 2026-02-19, accessed on November 12, 2026, OECD.AI If instead you are using the methodological report as a reference, you can cite it as follows:OECD (2026), The OECD.AI Index, OECD Publishing, Paris, https://doi.org/10.1787/32c01014-en.
Contact us if you are interested in becoming a partner of OECD.AI.
ContactThe OECD.AI Index development was supported by the Patrick J. McGovern Foundation (PJMF).
