This is an evidence ledger, not a ranking. Different rows have different populations, periods and question bases. The structured JSON retains fuller methodological notes.
| Source | Measure / geography | Period | Value | Base / definition | Reference |
|---|---|---|---|---|---|
| mckinsey | Enterprise-wide AI scaling 2025 survey wave; geographic coverage not verified in this extract | 2025 | 38 percent | Survey respondents reporting on their organisations | Source |
| mckinsey | Enterprise-wide AI scaling 97-nation survey | 2026 | 44 percent | Survey respondents reporting on their organisations | Source |
| mckinsey | Large organisations 2025 survey wave; geographic coverage not verified in this extract | 2025 | 27 percent | Respondents at organisations with annual revenue >$1billion | Source |
| mckinsey | Smaller organisations 2025 survey wave; geographic coverage not verified in this extract | 2025 | 22 percent | Respondents at smaller organisations; large defined as annual revenue >$1billion | Source |
| mckinsey | Large organisations 97-nation survey | 2026 | 40 percent | Respondents at organisations with annual revenue >$1billion | Source |
| mckinsey | Smaller organisations 97-nation survey | 2026 | 22 percent | Respondents at smaller organisations; large defined as annual revenue >$1billion | Source |
| mckinsey | Improved own productivity 97-nation survey | 2026 | 80 percent | Survey respondents describing their own productivity | Source |
| mckinsey | Positive organisational EBIT contribution 97-nation survey | 2026 | 37 percent | Survey respondents answering the enterprise EBIT impact question | Source |
| mckinsey | AI in three or more functions 2025 survey wave; geographic coverage not verified in this extract | 2025 | 51 percent | Survey respondents reporting on their organisations | Source |
| mckinsey | AI in three or more functions 97-nation survey | 2026 | 56 percent | Survey respondents reporting on their organisations | Source |
| gallup | Weekly or daily AI use United States | Jan–Mar2026 | 28 percent | All surveyed US employees; full sample n=15,482 | Source |
| gallup | Never used AI in their role United States | Jan–Mar2026 | 54 percent | All surveyed US employees; full sample n=15,482 | Source |
| gallup | College graduates United States | Jan–Mar2026 | 40 percent | US employees with a college degree | Source |
| gallup | Without a college degree United States | Jan–Mar2026 | 17 percent | US employees without a college degree | Source |
| gallup | Managers United States | Jan–Mar2026 | 37 percent | US employees in management roles | Source |
| gallup | Individual contributors United States | Jan–Mar2026 | 25 percent | US employees in individual-contributor roles | Source |
| gallup | Work faster United States | Jan–Mar2026 | 63 percent | AI-using employees; at least a few times in prior year; n=7,845 | Source |
| gallup | Find more creative solutions United States | Jan–Mar2026 | 56 percent | AI-using employees; at least a few times in prior year; n=7,845 | Source |
| gallup | More time for interesting work United States | Jan–Mar2026 | 47 percent | AI-using employees; at least a few times in prior year; n=7,845 | Source |
| gallup | Produce higher-quality work United States | Jan–Mar2026 | 46 percent | AI-using employees; at least a few times in prior year; n=7,845 | Source |
| gallup | Employer asks for more responsibility United States | Jan–Mar2026 | 31 percent | AI-using employees; at least a few times in prior year; n=7,845 | Source |
| anthropic | Explanations / answers International Claude chat/Cowork sample | 10Apr–10Jun2026 | 17 percent | Sampled Claude chat/Cowork conversations | Source 9 |
| anthropic | Documents / reports International Claude chat/Cowork sample | 10Apr–10Jun2026 | 15 percent | Sampled Claude chat/Cowork conversations | Source 9 |
| anthropic | Guidance International Claude chat/Cowork sample | 10Apr–10Jun2026 | 11 percent | Sampled Claude chat/Cowork conversations | Source 9 |
| anthropic | Work conversations International Claude chat/Cowork sample | 10Apr–10Jun2026 | 20 percent | Conversations within the indicated purpose category | Source 12 |
| anthropic | Coursework conversations International Claude chat/Cowork sample | 10Apr–10Jun2026 | 21 percent | Conversations within the indicated purpose category | Source 12 |
| anthropic | Personal conversations International Claude chat/Cowork sample | 10Apr–10Jun2026 | 6 percent | Conversations within the indicated purpose category | Source 12 |
| anthropic | Work International Claude chat/Cowork sample | May2026 | 43.36 percent | Global sampled Claude chat/Cowork conversations in calendar May2026 | Source |
| anthropic | Personal International Claude chat/Cowork sample | May2026 | 40.2 percent | Global sampled Claude chat/Cowork conversations in calendar May2026 | Source |
| anthropic | Coursework International Claude chat/Cowork sample | May2026 | 16.45 percent | Global sampled Claude chat/Cowork conversations in calendar May2026 | Source |
| hepi2026 | Used AI for at least one purpose United Kingdom | 2024 | 66 percent | Full-time UK undergraduates | Source 10 |
| hepi2026 | Used AI for at least one purpose United Kingdom | 2025 | 92 percent | Full-time UK undergraduates | Source 10 |
| hepi2026 | Used AI for at least one purpose United Kingdom | 2026 | 95 percent | Full-time UK undergraduates | Source 10 |
| hepi2026 | Used generative AI to help with assessed work United Kingdom | 2026 | 94 percent | Full-time UK undergraduates | Source 14 |
| hepi2026 | Said institution provides generative AI tools United Kingdom | 2024 | 9 percent | Full-time UK undergraduates | Source 35 |
| hepi2026 | Said institution provides generative AI tools United Kingdom | 2025 | 23 percent | Full-time UK undergraduates | Source 35 |
| hepi2026 | Said institution provides generative AI tools United Kingdom | 2026 | 38 percent | Full-time UK undergraduates | Source 35 |
| hepi2026 | Agreed AI skills are essential to thrive United Kingdom | 2026 | 68 percent | Full-time UK undergraduates | Source 30 |
| hepi2026 | Agreed teaching staff help develop AI skills for future career United Kingdom | 2026 | 48 percent | Full-time UK undergraduates | Source 31 |
| nlt_young2026 | Had used generative AI United Kingdom; sample heavily England-based | 2025 | 66.5 percent | Surveyed 13–18-year-olds who had heard of generative AI | Source 7 |
| nlt_young2026 | Had used generative AI United Kingdom; sample heavily England-based | 2026 | 79.0 percent | Surveyed 13–18-year-olds who had heard of generative AI | Source 7 |
| nlt_young2026 | Check AI outputs for accuracy United Kingdom; sample heavily England-based | 2026 | 52.3 percent | Surveyed 13–18-year-olds who use AI | Source 13 |
| nlt_young2026 | Add own thoughts to AI outputs United Kingdom; sample heavily England-based | 2026 | 56.5 percent | Surveyed 13–18-year-olds who use AI | Source 13 |
| nlt_young2026 | Usually copy AI output when using it for homework United Kingdom; sample heavily England-based | 2026 | 24.1 percent | Surveyed 13–18-year-olds who use AI | Source 13 |
| nlt_young2026 | Usually copy AI output for homework: FSM United Kingdom; sample heavily England-based | 2026 | 31.6 percent | AI-using surveyed 13–18-year-olds in the FSM subgroup | Source 14 |
| nlt_young2026 | Usually copy AI output for homework: Non-FSM United Kingdom; sample heavily England-based | 2026 | 22.4 percent | AI-using surveyed 13–18-year-olds in the Non-FSM subgroup | Source 14 |
| nlt_teachers2026 | Had used generative AI United Kingdom survey | 2025 | 58.0 percent | Surveyed teachers who had heard of generative AI | Source 7 |
| nlt_teachers2026 | Had used generative AI United Kingdom survey | 2026 | 80.6 percent | Surveyed teachers who had heard of generative AI | Source 7 |
| nlt_teachers2026 | Received AI training or support through school United Kingdom survey | 2026 | 32.6 percent | Surveyed teachers who had heard of generative AI | Source 20 |
| nlt_teachers2026 | Use AI for lesson resources, quizzes or tests United Kingdom survey | 2026 | 73.2 percent | Surveyed teachers using generative AI at least monthly | Source 9 |
| nlt_teachers2026 | Use AI to assess work or create a marking rubric United Kingdom survey | 2026 | 9.1 percent | Surveyed teachers using generative AI at least monthly | Source 9 |
| nlt_parents2026 | Families that had used AI together United Kingdom research programme | 2026 | 67.8 percent | Surveyed parents of children aged 5–18 reporting family activity | Source |
| nlt_parents2026 | Agreed child should learn about AI at school United Kingdom research programme | 2026 | 62.5 percent | Surveyed parents of children aged 5–18 | Source |
| nlt_young2026 | Young people reporting generative AI use England | 2026 | 79.2 percent | Participating 13–18-year-olds in this geography who responded to the generative-AI use question | Source 28 |
| nlt_young2026 | Young people reporting generative AI use Wales | 2026 | 74.9 percent | Participating 13–18-year-olds in this geography who responded to the generative-AI use question | Source 28 |
| nlt_young2026 | Young people reporting generative AI use Scotland | 2026 | 76.4 percent | Participating 13–18-year-olds in this geography who responded to the generative-AI use question | Source 28 |
| nlt_young2026 | Young people reporting generative AI use Northern Ireland | 2026 | 78.0 percent | Participating 13–18-year-olds in this geography who responded to the generative-AI use question | Source 28 |
| nlt_young2026 | Young people reporting generative AI use North East | 2026 | 78.2 percent | Participating 13–18-year-olds in this geography who responded to the generative-AI use question | Source 28 |
| nlt_young2026 | Young people reporting generative AI use North West | 2026 | 78.4 percent | Participating 13–18-year-olds in this geography who responded to the generative-AI use question | Source 28 |
| nlt_young2026 | Young people reporting generative AI use Yorkshire and the Humber | 2026 | 79.7 percent | Participating 13–18-year-olds in this geography who responded to the generative-AI use question | Source 28 |
| nlt_young2026 | Young people reporting generative AI use East Midlands | 2026 | 79.8 percent | Participating 13–18-year-olds in this geography who responded to the generative-AI use question | Source 28 |
| nlt_young2026 | Young people reporting generative AI use West Midlands | 2026 | 79.2 percent | Participating 13–18-year-olds in this geography who responded to the generative-AI use question | Source 28 |
| nlt_young2026 | Young people reporting generative AI use East of England | 2026 | 80.5 percent | Participating 13–18-year-olds in this geography who responded to the generative-AI use question | Source 28 |
| nlt_young2026 | Young people reporting generative AI use London | 2026 | 82.1 percent | Participating 13–18-year-olds in this geography who responded to the generative-AI use question | Source 28 |
| nlt_young2026 | Young people reporting generative AI use South East | 2026 | 79.0 percent | Participating 13–18-year-olds in this geography who responded to the generative-AI use question | Source 28 |
| nlt_young2026 | Young people reporting generative AI use South West | 2026 | 76.2 percent | Participating 13–18-year-olds in this geography who responded to the generative-AI use question | Source 28 |
| eurostat-isoc-eb-ai | Uses at least one AI technology European Union - 27 countries (from 2020) | 2021 | 7.65 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology European Union - 27 countries (from 2020) | 2023 | 8.06 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology European Union - 27 countries (from 2020) | 2024 | 13.48 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology European Union - 27 countries (from 2020) | 2025 | 19.95 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Belgium | 2021 | 10.32 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Belgium | 2023 | 13.81 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Belgium | 2024 | 24.71 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Belgium | 2025 | 34.54 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Bulgaria | 2021 | 3.29 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Bulgaria | 2023 | 3.62 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Bulgaria | 2024 | 6.47 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Bulgaria | 2025 | 8.55 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Czechia | 2021 | 4.46 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Czechia | 2023 | 5.9 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Czechia | 2024 | 11.26 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Czechia | 2025 | 17.6 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Denmark | 2021 | 23.89 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Denmark | 2023 | 15.17 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Denmark | 2024 | 27.58 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Denmark | 2025 | 42.03 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Germany | 2021 | 10.56 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Germany | 2023 | 11.55 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Germany | 2024 | 19.75 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Germany | 2025 | 25.97 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Estonia | 2021 | 2.77 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Estonia | 2023 | 5.19 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Estonia | 2024 | 13.89 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Estonia | 2025 | 23.4 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Ireland | 2021 | 7.88 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Ireland | 2023 | 8.01 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Ireland | 2024 | 14.9 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Ireland | 2025 | 19.64 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Greece | 2021 | 2.61 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Greece | 2023 | 3.98 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Greece | 2024 | 9.81 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Greece | 2025 | 8.93 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Spain | 2021 | 7.67 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Spain | 2023 | 9.18 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Spain | 2024 | 11.31 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Spain | 2025 | 20.27 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology France | 2021 | 6.67 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology France | 2023 | 5.88 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology France | 2024 | 9.91 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology France | 2025 | 18.16 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Croatia | 2021 | 8.74 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Croatia | 2023 | 7.89 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Croatia | 2024 | 11.76 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Croatia | 2025 | 15.19 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Italy | 2021 | 6.17 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Italy | 2023 | 5.05 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Italy | 2024 | 8.2 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Italy | 2025 | 16.4 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Cyprus | 2021 | 2.59 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Cyprus | 2023 | 4.67 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Cyprus | 2024 | 7.9 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Cyprus | 2025 | 9.27 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Latvia | 2021 | 3.72 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Latvia | 2023 | 4.53 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Latvia | 2024 | 8.83 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Latvia | 2025 | 12.21 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Lithuania | 2021 | 4.45 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Lithuania | 2023 | 4.86 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Lithuania | 2024 | 8.76 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Lithuania | 2025 | 21.3 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Luxembourg | 2021 | 13.0 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Luxembourg | 2023 | 14.45 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Luxembourg | 2024 | 23.73 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Luxembourg | 2025 | 33.61 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Hungary | 2021 | 2.98 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Hungary | 2023 | 3.68 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Hungary | 2024 | 7.41 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Hungary | 2025 | 10.37 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Malta | 2021 | 10.16 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Malta | 2023 | 13.17 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Malta | 2024 | 17.3 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Malta | 2025 | 21.51 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Netherlands | 2021 | 13.1 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Netherlands | 2023 | 14.1 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Netherlands | 2024 | 23.06 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Netherlands | 2025 | 33.21 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Austria | 2021 | 8.83 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Austria | 2023 | 10.79 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Austria | 2024 | 20.27 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Austria | 2025 | 29.95 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Poland | 2021 | 2.86 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Poland | 2023 | 3.67 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Poland | 2024 | 5.9 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Poland | 2025 | 8.36 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Portugal | 2021 | 7.2 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Portugal | 2023 | 7.86 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Portugal | 2024 | 8.63 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Portugal | 2025 | 11.54 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Romania | 2021 | 1.38 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Romania | 2023 | 1.51 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Romania | 2024 | 3.07 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Romania | 2025 | 5.21 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Slovenia | 2021 | 11.73 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Slovenia | 2023 | 11.37 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Slovenia | 2024 | 20.89 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Slovenia | 2025 | 21.61 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Slovakia | 2021 | 5.19 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Slovakia | 2023 | 7.04 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Slovakia | 2024 | 10.78 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Slovakia | 2025 | 18.0 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Finland | 2021 | 15.79 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Finland | 2023 | 15.1 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Finland | 2024 | 24.37 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Finland | 2025 | 37.82 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Sweden | 2021 | 9.92 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Sweden | 2023 | 10.37 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Sweden | 2024 | 25.09 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai | Uses at least one AI technology Sweden | 2025 | 35.04 percent | Enterprises with 10 or more persons employed in economic activities covered by the Eurostat ICT enterprise survey (NACE Rev.2 C10-S951_X_K); not the whole economy. | Source |
| eurostat-isoc-eb-ai-size | From 10 to 49 persons employed EU27 | 2025 | 17.0 percent | Enterprises in the stated size class in economic activities covered by Eurostat ICT enterprise survey. | Source |
| eurostat-isoc-eb-ai-size | From 50 to 249 persons employed EU27 | 2025 | 30.36 percent | Enterprises in the stated size class in economic activities covered by Eurostat ICT enterprise survey. | Source |
| eurostat-isoc-eb-ai-size | 250 persons employed or more EU27 | 2025 | 55.03 percent | Enterprises in the stated size class in economic activities covered by Eurostat ICT enterprise survey. | Source |
| jrc146753 | Cultural and creative sectors, and media EU27 eligible strategic-sector firms | 2021 | 13 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Cultural and creative sectors, and media EU27 eligible strategic-sector firms | 2025 | 38 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Energy EU27 eligible strategic-sector firms | 2021 | 18 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Energy EU27 eligible strategic-sector firms | 2025 | 34 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Electronic communications EU27 eligible strategic-sector firms | 2021 | 12 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Electronic communications EU27 eligible strategic-sector firms | 2025 | 30 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Healthcare and pharmaceuticals (covered activities) EU27 eligible strategic-sector firms | 2021 | 7 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Healthcare and pharmaceuticals (covered activities) EU27 eligible strategic-sector firms | 2025 | 23 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Defence, security and space (private activities) EU27 eligible strategic-sector firms | 2021 | 9 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Defence, security and space (private activities) EU27 eligible strategic-sector firms | 2025 | 20 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Climate and environment EU27 eligible strategic-sector firms | 2021 | 7 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Climate and environment EU27 eligible strategic-sector firms | 2025 | 16 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Manufacturing, engineering and construction EU27 eligible strategic-sector firms | 2021 | 7 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Manufacturing, engineering and construction EU27 eligible strategic-sector firms | 2025 | 16 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Agri-food (covered activities) EU27 eligible strategic-sector firms | 2021 | 5 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Agri-food (covered activities) EU27 eligible strategic-sector firms | 2025 | 13 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Tourism EU27 eligible strategic-sector firms | 2021 | 3 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Tourism EU27 eligible strategic-sector firms | 2025 | 13 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Mobility, transport and automotive EU27 eligible strategic-sector firms | 2021 | 6 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| jrc146753 | Mobility, transport and automotive EU27 eligible strategic-sector firms | 2025 | 12 percent | Firms with 10+ persons employed in the mapped activities covered by the survey, weighted by number of firms across constituent NACE activities. | Source 11 |
| dartmouth2026 | Mostly developed AI skills independently, outside formal coursework United States | September 2026 | 79.3 percent | Weighted US four-year college student sample; agree or strongly agree; each item N=1,003. Separate, overlapping agreement measures, not complements or an adoption rate. Weighted online-panel self-reports; working paper, peer review not verified. Design effects were not verified. No causal learning outcomes or direct comparison with HEPI. | Table 12, PDF p. 22 |
| dartmouth2026 | Professors and courses provided meaningful guidance on effective and ethical AI use United States | September 2026 | 68.1 percent | Weighted US four-year college student sample; agree or strongly agree; each item N=1,003. Separate, overlapping agreement measures, not complements or an adoption rate. Weighted online-panel self-reports; working paper, peer review not verified. Design effects were not verified. No causal learning outcomes or direct comparison with HEPI. | Table 12, PDF p. 22 |
| dartmouth2026 | Institution adequately prepares students for AI use in their future career United States | September 2026 | 49.5 percent | Weighted US four-year college student sample; agree or strongly agree; each item N=1,003. Separate, overlapping agreement measures, not complements or an adoption rate. Weighted online-panel self-reports; working paper, peer review not verified. Design effects were not verified. No causal learning outcomes or direct comparison with HEPI. | Table 12, PDF p. 22 |
| uk_ai_adoption2026 | Current AI use, including pilots — All eligible businesses United Kingdom | 7 January–21 April 2026 | 32 percent | UK private-sector businesses with at least five employees in SIC A–N and R–S; All eligible businesses. 3,503 telephone interviews with technology-responsible respondents; Market Location commercial sampling frame; weighted by business size and sector; 5% response rate. Broad AI, including pilots, not only generative AI. Selected sectors and a five-employee threshold differ from Eurostat; no direct UK–EU ranking. Self-reports, not a census or causal productivity evidence. Low response creates nonresponse risk; weighting does not establish its absence. The report compares 32% with 16% in the prior wave. These are repeated cross-sections, not a panel; questionnaire and achieved samples changed. | ODS Table 27; PDF figures 1–2 |
| uk_ai_adoption2026 | Current AI use, including pilots — Micro · 5–9 employees United Kingdom | 7 January–21 April 2026 | 27 percent | UK private-sector businesses with at least five employees in SIC A–N and R–S; Micro · 5–9 employees. 3,503 telephone interviews with technology-responsible respondents; Market Location commercial sampling frame; weighted by business size and sector; 5% response rate. Broad AI, including pilots, not only generative AI. Selected sectors and a five-employee threshold differ from Eurostat; no direct UK–EU ranking. Self-reports, not a census or causal productivity evidence. Low response creates nonresponse risk; weighting does not establish its absence. The report compares 32% with 16% in the prior wave. These are repeated cross-sections, not a panel; questionnaire and achieved samples changed. | ODS Table 27; PDF figures 1–2 |
| uk_ai_adoption2026 | Current AI use, including pilots — Small · 10–49 employees United Kingdom | 7 January–21 April 2026 | 34 percent | UK private-sector businesses with at least five employees in SIC A–N and R–S; Small · 10–49 employees. 3,503 telephone interviews with technology-responsible respondents; Market Location commercial sampling frame; weighted by business size and sector; 5% response rate. Broad AI, including pilots, not only generative AI. Selected sectors and a five-employee threshold differ from Eurostat; no direct UK–EU ranking. Self-reports, not a census or causal productivity evidence. Low response creates nonresponse risk; weighting does not establish its absence. The report compares 32% with 16% in the prior wave. These are repeated cross-sections, not a panel; questionnaire and achieved samples changed. | ODS Table 27; PDF figures 1–2 |
| uk_ai_adoption2026 | Current AI use, including pilots — Medium · 50–249 employees United Kingdom | 7 January–21 April 2026 | 47 percent | UK private-sector businesses with at least five employees in SIC A–N and R–S; Medium · 50–249 employees. 3,503 telephone interviews with technology-responsible respondents; Market Location commercial sampling frame; weighted by business size and sector; 5% response rate. Broad AI, including pilots, not only generative AI. Selected sectors and a five-employee threshold differ from Eurostat; no direct UK–EU ranking. Self-reports, not a census or causal productivity evidence. Low response creates nonresponse risk; weighting does not establish its absence. The report compares 32% with 16% in the prior wave. These are repeated cross-sections, not a panel; questionnaire and achieved samples changed. | ODS Table 27; PDF figures 1–2 |
| uk_ai_adoption2026 | Current AI use, including pilots — Large · 250+ employees United Kingdom | 7 January–21 April 2026 | 52 percent | UK private-sector businesses with at least five employees in SIC A–N and R–S; Large · 250+ employees. 3,503 telephone interviews with technology-responsible respondents; Market Location commercial sampling frame; weighted by business size and sector; 5% response rate. Broad AI, including pilots, not only generative AI. Selected sectors and a five-employee threshold differ from Eurostat; no direct UK–EU ranking. Self-reports, not a census or causal productivity evidence. Low response creates nonresponse risk; weighting does not establish its absence. The report compares 32% with 16% in the prior wave. These are repeated cross-sections, not a panel; questionnaire and achieved samples changed. | ODS Table 27; PDF figures 1–2 |
| uk_ai_adoption2026 | Limited AI skills, expertise or knowledge prevent adoption — nonusers planning adoption United Kingdom | 7 January–21 April 2026 | 78 percent | UK private-sector businesses with at least five employees in SIC A–N and R–S; nonusers planning future adoption; unweighted base 236. 3,503 telephone interviews with technology-responsible respondents; Market Location commercial sampling frame; weighted by business size and sector; 5% response rate. Broad AI, including pilots, not only generative AI. Selected sectors and a five-employee threshold differ from Eurostat; no direct UK–EU ranking. Self-reports, not a census or causal productivity evidence. Low response creates nonresponse risk; weighting does not establish its absence. Routed subgroup, not all businesses or current adopters; not the 67% past-barrier measure among current users. | ODS Table 61; PDF figure 22 |
| reuters_genai2026 | Weekly use of standalone generative AI tools — six countries | 2025 | 34 percent | All respondents in the same six countries (Argentina, Denmark, France, Japan, United Kingdom and United States); n=12,565. YouGov online questionnaire; nonprobability samples with quotas and weighting for age, gender, region, education and political leaning. Combined-respondent estimates use YouGov weights, not an unweighted average of country percentages. Self-reported use and exposure, subject to recall and interpretation; online samples underrepresent people offline. No conventional sampling margin of error; not a worldwide estimate or directly comparable with Microsoft usage estimates. Different country sets and questions mean the weekly-use and search-exposure figures must not be subtracted as an exposure gap. Weekly-use comparison covers the same six countries, not a longitudinal panel. The prompted standalone-tool list changed from 13 tools in 2025 to 14 in 2026; this qualification accompanies the trend. | Figure 1; printed p.12 |
| reuters_genai2026 | Weekly use of standalone generative AI tools — six countries | 2026 | 51 percent | All respondents in the same six countries (Argentina, Denmark, France, Japan, United Kingdom and United States); n=12,774. YouGov online questionnaire; nonprobability samples with quotas and weighting for age, gender, region, education and political leaning. Combined-respondent estimates use YouGov weights, not an unweighted average of country percentages. Self-reported use and exposure, subject to recall and interpretation; online samples underrepresent people offline. No conventional sampling margin of error; not a worldwide estimate or directly comparable with Microsoft usage estimates. Different country sets and questions mean the weekly-use and search-exposure figures must not be subtracted as an exposure gap. Weekly-use comparison covers the same six countries, not a longitudinal panel. The prompted standalone-tool list changed from 13 tools in 2025 to 14 in 2026; this qualification accompanies the trend. | Figure 1; printed p.12 |
| reuters_genai2026 | AI-generated answers or assistants encountered in search engines in the previous week — nine countries | 2026 | 57 percent | All respondents across nine countries (Argentina, Denmark, France, Japan, United Kingdom and United States, plus Australia, Finland and Norway); n=18,921. YouGov online questionnaire; nonprobability samples with quotas and weighting for age, gender, region, education and political leaning. Combined-respondent estimates use YouGov weights, not an unweighted average of country percentages. Self-reported use and exposure, subject to recall and interpretation; online samples underrepresent people offline. No conventional sampling margin of error; not a worldwide estimate or directly comparable with Microsoft usage estimates. Different country sets and questions mean the weekly-use and search-exposure figures must not be subtracted as an exposure gap. Includes deliberate engagement and incidental exposure within search engines; not a measure of all incidental AI exposure. | Figure 5; printed p.16 |
| oecd-regions-2026 | Enterprises using AI — Burgenland Burgenland, Austria | 2025 | 18.33 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F28 |
| oecd-regions-2026 | Enterprises using AI — Lower Austria Lower Austria, Austria | 2025 | 21.81 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F29 |
| oecd-regions-2026 | Enterprises using AI — Vienna Vienna, Austria | 2025 | 37.36 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F30 |
| oecd-regions-2026 | Enterprises using AI — Carinthia Carinthia, Austria | 2025 | 23.63 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F31 |
| oecd-regions-2026 | Enterprises using AI — Styria Styria, Austria | 2025 | 25.55 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F32 |
| oecd-regions-2026 | Enterprises using AI — Upper Austria Upper Austria, Austria | 2025 | 32.93 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F33 |
| oecd-regions-2026 | Enterprises using AI — Salzburg Salzburg, Austria | 2025 | 31.45 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F34 |
| oecd-regions-2026 | Enterprises using AI — Tyrol Tyrol, Austria | 2025 | 30.28 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F35 |
| oecd-regions-2026 | Enterprises using AI — Vorarlberg Vorarlberg, Austria | 2025 | 36.42 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F36 |
| oecd-regions-2026 | Enterprises using AI — Brussels Capital Region Brussels Capital Region, Belgium | 2025 | 42.32 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F37 |
| oecd-regions-2026 | Enterprises using AI — Flemish Region Flemish Region, Belgium | 2025 | 34.84 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F38 |
| oecd-regions-2026 | Enterprises using AI — Walloon Region Walloon Region, Belgium | 2025 | 30.20 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F39 |
| oecd-regions-2026 | Enterprises using AI — Prague Prague, Czechia | 2025 | 25.50 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F40 |
| oecd-regions-2026 | Enterprises using AI — Central Bohemian Region Central Bohemian Region, Czechia | 2025 | 13.47 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F41 |
| oecd-regions-2026 | Enterprises using AI — Southwest Southwest, Czechia | 2025 | 14.06 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F42 |
| oecd-regions-2026 | Enterprises using AI — Northwest Northwest, Czechia | 2025 | 9.47 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F43 |
| oecd-regions-2026 | Enterprises using AI — Northeast Northeast, Czechia | 2025 | 17.81 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F44 |
| oecd-regions-2026 | Enterprises using AI — Southeast Southeast, Czechia | 2025 | 15.49 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F45 |
| oecd-regions-2026 | Enterprises using AI — Central Moravia Central Moravia, Czechia | 2025 | 15.57 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F46 |
| oecd-regions-2026 | Enterprises using AI — Moravia-Silesia Moravia-Silesia, Czechia | 2025 | 15.72 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F47 |
| oecd-regions-2026 | Enterprises using AI — Copenhagen region Copenhagen region, Denmark | 2025 | 33.05 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F48 |
| oecd-regions-2026 | Enterprises using AI — Zealand Zealand, Denmark | 2025 | 42.73 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F49 |
| oecd-regions-2026 | Enterprises using AI — Southern Denmark Southern Denmark, Denmark | 2025 | 34.68 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F50 |
| oecd-regions-2026 | Enterprises using AI — Central Jutland Central Jutland, Denmark | 2025 | 50.82 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F51 |
| oecd-regions-2026 | Enterprises using AI — Northern Jutland Northern Jutland, Denmark | 2025 | 32.13 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F52 |
| oecd-regions-2026 | Enterprises using AI — Galicia Galicia, Spain | 2025 | 17.06 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F53 |
| oecd-regions-2026 | Enterprises using AI — Asturias Asturias, Spain | 2025 | 15.08 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F54 |
| oecd-regions-2026 | Enterprises using AI — Cantabria Cantabria, Spain | 2025 | 10.99 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F55 |
| oecd-regions-2026 | Enterprises using AI — Basque Country Basque Country, Spain | 2025 | 22.42 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F56 |
| oecd-regions-2026 | Enterprises using AI — Navarra Navarra, Spain | 2025 | 20.35 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F57 |
| oecd-regions-2026 | Enterprises using AI — La Rioja La Rioja, Spain | 2025 | 14.61 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F58 |
| oecd-regions-2026 | Enterprises using AI — Aragon Aragon, Spain | 2025 | 12.68 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F59 |
| oecd-regions-2026 | Enterprises using AI — Madrid Madrid, Spain | 2025 | 27.42 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F60 |
| oecd-regions-2026 | Enterprises using AI — Castile and León Castile and León, Spain | 2025 | 17.13 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F61 |
| oecd-regions-2026 | Enterprises using AI — Castile-La Mancha Castile-La Mancha, Spain | 2025 | 18.93 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F62 |
| oecd-regions-2026 | Enterprises using AI — Extremadura Extremadura, Spain | 2025 | 14.88 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F63 |
| oecd-regions-2026 | Enterprises using AI — Catalonia Catalonia, Spain | 2025 | 24.04 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F64 |
| oecd-regions-2026 | Enterprises using AI — Valencia Valencia, Spain | 2025 | 19.82 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F65 |
| oecd-regions-2026 | Enterprises using AI — Balearic Islands Balearic Islands, Spain | 2025 | 11.87 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F66 |
| oecd-regions-2026 | Enterprises using AI — Andalusia Andalusia, Spain | 2025 | 15.83 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F67 |
| oecd-regions-2026 | Enterprises using AI — Murcia Murcia, Spain | 2025 | 15.09 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F68 |
| oecd-regions-2026 | Enterprises using AI — Canary Islands Canary Islands, Spain | 2025 | 15.85 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F69 |
| oecd-regions-2026 | Enterprises using AI — Pannonian Croatia Pannonian Croatia, Croatia | 2025 | 10.51 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F70 |
| oecd-regions-2026 | Enterprises using AI — Adriatic Croatia Adriatic Croatia, Croatia | 2025 | 10.98 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F71 |
| oecd-regions-2026 | Enterprises using AI — City of Zagreb City of Zagreb, Croatia | 2025 | 25.44 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F72 |
| oecd-regions-2026 | Enterprises using AI — Northern Croatia Northern Croatia, Croatia | 2025 | 11.98 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F73 |
| oecd-regions-2026 | Enterprises using AI — Budapest Budapest, Hungary | 2025 | 17.66 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F74 |
| oecd-regions-2026 | Enterprises using AI — Pest Pest, Hungary | 2025 | 7.40 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F75 |
| oecd-regions-2026 | Enterprises using AI — Central Transdanubia Central Transdanubia, Hungary | 2025 | 7.72 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F76 |
| oecd-regions-2026 | Enterprises using AI — Western Transdanubia Western Transdanubia, Hungary | 2025 | 6.11 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F77 |
| oecd-regions-2026 | Enterprises using AI — Southern Transdanubia Southern Transdanubia, Hungary | 2025 | 7.98 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F78 |
| oecd-regions-2026 | Enterprises using AI — Northern Hungary Northern Hungary, Hungary | 2025 | 6.26 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F79 |
| oecd-regions-2026 | Enterprises using AI — Northern Great Plain Northern Great Plain, Hungary | 2025 | 5.48 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F80 |
| oecd-regions-2026 | Enterprises using AI — Southern Great Plain Southern Great Plain, Hungary | 2025 | 7.07 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F81 |
| oecd-regions-2026 | Enterprises using AI — Vilnius Region Vilnius Region, Lithuania | 2025 | 26.84 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F82 |
| oecd-regions-2026 | Enterprises using AI — Central and Western Lithuania Central and Western Lithuania, Lithuania | 2025 | 17.98 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F83 |
| oecd-regions-2026 | Enterprises using AI — Innlandet Innlandet, Norway | 2025 | 23.64 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F84 |
| oecd-regions-2026 | Enterprises using AI — Trøndelag Trøndelag, Norway | 2025 | 27.18 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F85 |
| oecd-regions-2026 | Enterprises using AI — Northern Norway Northern Norway, Norway | 2025 | 20.38 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F86 |
| oecd-regions-2026 | Enterprises using AI — Oslo and Viken Oslo and Viken, Norway | 2025 | 35.49 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F87 |
| oecd-regions-2026 | Enterprises using AI — Agder and Sør-Østlandet Agder and Sør-Østlandet, Norway | 2025 | 24.22 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F88 |
| oecd-regions-2026 | Enterprises using AI — Western Norway Western Norway, Norway | 2025 | 25.56 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F89 |
| oecd-regions-2026 | Enterprises using AI — Lesser Poland Lesser Poland, Poland | 2025 | 8.86 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F90 |
| oecd-regions-2026 | Enterprises using AI — Silesia Silesia, Poland | 2025 | 8.05 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F91 |
| oecd-regions-2026 | Enterprises using AI — Greater Poland Greater Poland, Poland | 2025 | 7.50 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F92 |
| oecd-regions-2026 | Enterprises using AI — West Pomerania West Pomerania, Poland | 2025 | 7.92 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F93 |
| oecd-regions-2026 | Enterprises using AI — Lubusz Lubusz, Poland | 2025 | 5.58 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F94 |
| oecd-regions-2026 | Enterprises using AI — Lower Silesia Lower Silesia, Poland | 2025 | 9.68 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F95 |
| oecd-regions-2026 | Enterprises using AI — Opole region Opole region, Poland | 2025 | 7.40 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F96 |
| oecd-regions-2026 | Enterprises using AI — Kuyavian-Pomerania Kuyavian-Pomerania, Poland | 2025 | 6.36 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F97 |
| oecd-regions-2026 | Enterprises using AI — Warmian-Masuria Warmian-Masuria, Poland | 2025 | 4.53 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F98 |
| oecd-regions-2026 | Enterprises using AI — Pomerania Pomerania, Poland | 2025 | 9.24 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F99 |
| oecd-regions-2026 | Enterprises using AI — Lodzkie Lodzkie, Poland | 2025 | 7.57 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F100 |
| oecd-regions-2026 | Enterprises using AI — Swietokrzyskie Swietokrzyskie, Poland | 2025 | 5.31 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F101 |
| oecd-regions-2026 | Enterprises using AI — Lublin Province Lublin Province, Poland | 2025 | 5.86 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F102 |
| oecd-regions-2026 | Enterprises using AI — Podkarpacia Podkarpacia, Poland | 2025 | 7.02 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F103 |
| oecd-regions-2026 | Enterprises using AI — Podlaskie Podlaskie, Poland | 2025 | 5.56 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F104 |
| oecd-regions-2026 | Enterprises using AI — Warsaw Warsaw, Poland | 2025 | 15.99 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F105 |
| oecd-regions-2026 | Enterprises using AI — Mazowiecki region Mazowiecki region, Poland | 2025 | 2.94 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F106 |
| oecd-regions-2026 | Enterprises using AI — Stockholm Stockholm, Sweden | 2025 | 44.77 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F107 |
| oecd-regions-2026 | Enterprises using AI — East Middle Sweden East Middle Sweden, Sweden | 2025 | 29.23 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F108 |
| oecd-regions-2026 | Enterprises using AI — Småland with Islands Småland with Islands, Sweden | 2025 | 29.53 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F109 |
| oecd-regions-2026 | Enterprises using AI — South Sweden South Sweden, Sweden | 2025 | 31.32 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F110 |
| oecd-regions-2026 | Enterprises using AI — West Sweden West Sweden, Sweden | 2025 | 37.08 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F111 |
| oecd-regions-2026 | Enterprises using AI — North Middle Sweden North Middle Sweden, Sweden | 2025 | 22.09 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F112 |
| oecd-regions-2026 | Enterprises using AI — Central Norrland Central Norrland, Sweden | 2025 | 18.43 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F113 |
| oecd-regions-2026 | Enterprises using AI — Upper Norrland Upper Norrland, Sweden | 2025 | 31.51 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F114 |
| oecd-regions-2026 | Enterprises using AI — Bratislava Region Bratislava Region, Slovak Republic | 2025 | 28.36 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F115 |
| oecd-regions-2026 | Enterprises using AI — West Slovakia West Slovakia, Slovak Republic | 2025 | 14.00 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F116 |
| oecd-regions-2026 | Enterprises using AI — Central Slovakia Central Slovakia, Slovak Republic | 2025 | 14.00 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F117 |
| oecd-regions-2026 | Enterprises using AI — East Slovakia East Slovakia, Slovak Republic | 2025 | 13.36 percent | Enterprises with at least 10 persons employed in covered nonfinancial sectors; broad AI use | Figure 1.9, worksheet Figure 1.9, F118 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Australia (2022) | 2021–2022 | 1.4 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I10 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Korea (2024) | 2024 | 20.8704433193799 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I11 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Italy | 2025 | 10.1717 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I12 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Norway | 2025 | 16.1432 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I13 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Sweden | 2025 | 20.8595 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I14 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Poland | 2025 | 5.2906 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I15 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Ireland | 2025 | 13.4635 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I16 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Finland | 2025 | 25.4826 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I17 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Japan (2023) | 2021–2023 | 2.9417 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I18 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together — unweighted covered-country mean OECD | 2025 or most recent (2021–2025) | 12.2162086899778 percent | Enterprises with at least 10 employees in covered sectors; unweighted mean of 28 country percentages | Source Figure 3.4, Tech co-occurencies_e!I19 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Netherlands | 2025 | 23.7163 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I20 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Slovenia | 2025 | 10.9384 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I22 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Germany | 2025 | 12.9290999999999 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I23 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Austria | 2025 | 11.1124 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I24 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Hungary | 2025 | 5.7149 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I26 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Estonia | 2025 | 16.1476 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I27 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Belgium | 2025 | 22.7793 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I28 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Denmark | 2025 | 29.9112 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I29 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Lithuania | 2025 | 14.6097 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I30 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Latvia | 2025 | 8.1669 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I31 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Czech Republic | 2025 | 11.0392 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I32 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together France | 2025 | 8.308 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I33 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Luxembourg | 2025 | 14.291 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I34 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Slovak Republic | 2025 | 8.634 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I35 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Portugal | 2025 | 7.2088 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I36 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Spain | 2025 | 10.6999 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I37 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Türkiye | 2025 | 2.7536 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I38 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Greece | 2025 | 4.6703 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I40 |
| oecd-technology-couse-2026 | AI, cloud and data analytics together Canada (2023) | 2023 | 1.79999999999999 percent | Enterprises with at least 10 employees in covered sectors | Source Figure 3.4, Tech co-occurencies_e!I42 |
| census-btos-202622 | AI use in any business function United States | 2026-10-05/2026-10-18 | 24.2 percent | Covered nonfarm employer businesses; percentage of businesses, not employees | Source National.xlsx, Response Estimates!E16; Response Standard Errors!E16; cycle 202622 |
| census-btos-202622 | Business reports employees using generative AI for work United States | 2026-10-05/2026-10-18 | 26.8 percent | Covered nonfarm employer businesses; percentage of businesses, not employees | Source National.xlsx, Response Estimates!E19; Response Standard Errors!E19; cycle 202622 |