{"id":1227949,"name":"Organizations reporting having adopted AI","unit":"%","createdAt":"2026-04-24T10:39:36.000Z","updatedAt":"2026-04-24T10:39:36.000Z","coverage":"","timespan":"2021-2025","datasetId":7803,"shortUnit":"%","columnOrder":0,"shortName":"pct_of_respondents","catalogPath":"grapher/artificial_intelligence/2026-04-20/ai_index/ai_adoption#pct_of_respondents","descriptionShort":"Share of companies using AI technology (e.g., machine learning, computer vision, or natural language processing) in at least one business function.","descriptionProcessing":"We combine data from multiple releases of the AI Index Report. When the same year appears in more than one release, we use the most recent version.","type":"float","grapherConfigIdETL":"019dbf12-d89a-7d2d-9b23-380a6c31a16c","datasetName":"AI Index Report","updatePeriodDays":365,"datasetVersion":"2026-04-20","nonRedistributable":false,"display":{"unit":"%","shortUnit":"%","numDecimalPlaces":0},"schemaVersion":2,"processingLevel":"major","presentation":{"attribution":"McKinsey & Company via AI Index Report","topicTagsLinks":["Artificial Intelligence"]},"descriptionKey":["Based on McKinsey & Company’s annual [“State of AI” surveys](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai) of organizations across many countries, industries, and company sizes.","Organizations are counted as using AI if they report using it in at least one business function.","Responses are self-reported and should be interpreted as indicative of trends rather than precise measures of global adoption.","Reported use often reflects early-stage adoption, such as experimentation or pilot projects, rather than widespread deployment.","To account for differences in response rates, results are weighted by each country’s contribution to global GDP."],"dimensions":{"years":{"values":[{"id":2021},{"id":2022},{"id":2023},{"id":2024},{"id":2025}]},"entities":{"values":[{"id":351327,"name":"All geographies","code":null},{"id":35113,"name":"Asia-Pacific","code":null},{"id":366958,"name":"Developing markets","code":null},{"id":276,"name":"Europe","code":"OWID_EUR"},{"id":371464,"name":"Greater China","code":null},{"id":294,"name":"North America","code":"OWID_NAM"}]}},"origins":[{"id":3373,"titleSnapshot":"AI Index Report - AI adoption","title":"AI Index Report","descriptionSnapshot":"Data from the “The State of AI in Early 2024. Gen AI Adoption Spikes and Starts to Generate Value” and “The State of AI. How Organizations Are Rewiring to Capture Value.\"\n\nTwo global online surveys conducted in 2024 gathered insights on AI adoption across industries and regions. The first, run from February 22 to March 5, included 1,363 participants, with 981 reporting their organizations had adopted AI in at least one business function and 878 using generative AI regularly. The second, conducted from July 16 to July 31, had 1,491 participants from 101 countries, 42% of whom worked at organizations with over $500 million in annual revenue. To ensure representativeness, responses were weighted by each participant’s country’s share of global GDP.","description":"The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence (AI). The mission is to provide unbiased, rigorously vetted, broadly sourced data to enable policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI.","producer":"McKinsey & Company Survey via AI Index","citationFull":"Nestor Maslej, Loredana Fattorini, Raymond Perrault, Yolanda Gil, Vanessa Parli, Njenga Kariuki, Emily Capstick, Anka Reuel, Erik\nBrynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Russell Wald,\nTobi Walsh, Armin Hamrah, Lapo Santarlasci, Julia Betts Lotufo, Alexandra Rome, Andrew Shi, Sukrut Oak. “The AI Index 2025\nAnnual Report,” AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2025","attributionShort":"AI Index Report","urlMain":"https://hai-production.s3.amazonaws.com/files/hai_ai_index_report_2025.pdf","urlDownload":"https://drive.google.com/uc?export=download&id=1io55VJnWqkR7l1A2jiNt3sowDFY4Hd8Z","dateAccessed":"2025-04-08","datePublished":"2025","license":{"url":"https://hai-production.s3.amazonaws.com/files/hai_ai_index_report_2025.pdf","name":"CC BY-ND 4.0"}},{"id":1101,"titleSnapshot":"AI Index Report - AI adoption 2023","title":"AI Index Report","descriptionSnapshot":"Data from the ““The State of AI in 2022—and a Half Decade in Review,” alongside data from prior editions from McKinsey & Company Survey via AI Index Report. The 2022 McKinsey analysis is based on a survey of 1,492 respondents across various regions, industries, company sizes, functional areas, and tenures.","description":"The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence (AI). The mission is to provide unbiased, rigorously vetted, broadly sourced data to enable policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI.","producer":"McKinsey & Company Survey via AI Index","citationFull":"Nestor Maslej, Loredana Fattorini, Raymond Perrault, Vanessa Parli, Anka Reuel, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Russell Wald, and Jack Clark, “The AI Index 2023 Annual Report,” AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2023.","attributionShort":"AI Index","urlMain":"https://aiindex.stanford.edu/wp-content/uploads/2023/04/HAI_AI-Index-Report_2023.pdf","urlDownload":"https://drive.google.com/uc?export=download&id=1dqEzwMBXVol7bt_ScuLdMpJ4GhGGuR7e","dateAccessed":"2024-06-28","datePublished":"2023-03-20","license":{"url":"https://aiindex.stanford.edu/wp-content/uploads/2023/04/HAI_AI-Index-Report_2023.pdf","name":"CC BY-ND 4.0"}},{"id":14378,"title":"AI Index Report","description":"The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence (AI). The mission is to provide unbiased, rigorously vetted, broadly sourced data to enable policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI.","producer":"AI Index Report","citationFull":"Sha Sajadieh, Loredana Fattorini, Raymond Perrault, Yolanda Gil, Vanessa Parli, Lapo Santarlasci, Juan Pava, Nestor Maslej, Russ Altman, Erik Brynjolfsson, Carla Brodley, Jack Clark, Virginia Dignum, Vipin Kumar, James Landay, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Elham Tabassi, Russell Wald, Toby Walsh, Dan Weld. “The AI Index 2026 Annual Report,” AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2026.","attributionShort":"AI Index Report","urlMain":"https://hai.stanford.edu/assets/files/ai_index_report_2026.pdf","dateAccessed":"2026-04-20","datePublished":"2026-04-13","license":{"url":"https://hai.stanford.edu/assets/files/ai_index_report_2026.pdf","name":"CC BY-ND 4.0"}}]}