Snapshot retrieved 14 September 2026 · Data years 2024–2025 · UTF-8 CSV, one row per country and metric
Official survey statistics · 2024 and 2025
Eurostat: artificial intelligence in enterprises
The enterprise survey provides AI use by company size and technology. This release uses the published total activity category C10-S951_X_K and enterprises with 10 or more people unless a size breakdown is stated. The survey covers selected business activities; it excludes the financial sector and does not describe every employer or the public sector. Technology categories overlap. An enterprise can use more than one type of AI.
Open primary source ↗Official labour-force statistics · 2024 and 2025
Eurostat: ICT specialists in employment
People whose main job involves developing, operating or maintaining ICT systems. Share of total employment and thousands of persons are separate series. These figures cover a much wider workforce than AI specialists. We retain source status flags, including estimates, breaks in series and low reliability where supplied.
Open primary source ↗Government-commissioned sector estimate · reference year 2024
UK DSIT: Artificial Intelligence sector study 2024
Table 3.3 reports an estimated 86,139 AI-related employees in the UK sector. This is a modelled sector measure using company data and survey evidence, not a census of people with AI skills. The sector includes dedicated and diversified AI companies. Its definition differs from ICT employment and it is kept outside the cross-country score.
Open primary source ↗Methodology · source reviewed 14 September 2026
OECD.AI: LinkedIn data methodology
LinkedIn AI-talent measures use member profiles and platform coverage. Their denominator is not a national workforce census. We use this source to explain why AI profile counts from different providers should not be merged into one ranking. No LinkedIn country values are included in the downloadable dataset.
Open primary source ↗Research context · published 28 October 2025
European Commission: shaping and strengthening European AI talent
The Commission-hosted report discusses the supply, attraction and retention of AI talent, with evidence that often predates its publication. It informs the distinction between specialist roles and wider AI skills. Its narrative findings are not numerical inputs to the market score.
Open primary source ↗Voluntary framework · 2023
NIST: AI Risk Management Framework 1.0
The role guides draw on the framework’s treatment of governance, context, measurement and management of AI risk. Our four maturity levels and suggested work samples are an original synthesis for discussion. NIST does not endorse, validate or provide these role levels.
Open primary source ↗Digital competence framework · published 27 November 2025
European Commission JRC: DigComp 3.0
DigComp 3.0 integrates AI into digital competence. We use it as background for AI literacy and learning practice. Our professional role guides are not the DigComp framework, its official proficiency levels or a certification.
Open primary source ↗Raw source snapshots
These files preserve the public Eurostat JSON-stat responses used for this release. They include more series than the benchmark displays. Eurostat timestamps and status codes are retained.
What is measured, calculated or proposed?
Published observations: Eurostat survey values. They are statistical estimates even when not explicitly flagged “e”. Source estimates: values explicitly flagged by the source, plus the UK sector study. Calculated: the readiness proxy and percentage-point changes. Scenario estimates: mechanical adoption extrapolations. Proposed: role levels, work samples and self-check actions.
Reuse and attribution
Credit the original data providers and this benchmark when reusing the derived figures. Original provider terms continue to apply. Consult Eurostat’s copyright and reuse policy for its data, and the licence stated on other source pages. Do not imply that Eurostat, NIST, OECD or the European Commission endorses this benchmark.
Source selection
We prioritised open, comparable primary-source series with explicit definitions. Unsourced talent counts and opaque commercial rankings were not used in the country score. Salary evidence is separately sourced below. OECD and Commission research provide context; only the specified Eurostat indicators enter the score.
Read the full method and limitations →
