{"id":1227955,"name":"Share of artificial intelligence jobs among all job postings","unit":"%","createdAt":"2026-04-24T10:39:36.000Z","updatedAt":"2026-04-24T10:39:36.000Z","coverage":"","timespan":"2014-2025","datasetId":7803,"shortUnit":"%","columnOrder":0,"shortName":"ai_job_postings_share","catalogPath":"grapher/artificial_intelligence/2026-04-20/ai_index/ai_jobs#ai_job_postings_share","descriptionShort":"Share of job postings that require at least one AI-related skill, such as machine learning, [generative AI](#dod:generative-ai), or natural language processing.","type":"float","datasetName":"AI Index Report","updatePeriodDays":365,"datasetVersion":"2026-04-20","nonRedistributable":false,"display":{"unit":"%","shortUnit":"%","numDecimalPlaces":1},"schemaVersion":2,"processingLevel":"minor","presentation":{"attribution":"Lightcast via AI Index Report (2026)","topicTagsLinks":["Artificial Intelligence"]},"descriptionKey":["A job posting is counted as an AI job if it lists at least one AI-related skill identified by Lightcast. The list of skills is updated each year to reflect new developments.","The definition is broad, covering technical roles as well as areas such as AI ethics and governance.","The data is based on online job postings and does not include roles that are not advertised online."],"dimensions":{"years":{"values":[{"id":2014},{"id":2015},{"id":2016},{"id":2017},{"id":2018},{"id":2019},{"id":2020},{"id":2021},{"id":2022},{"id":2023},{"id":2024},{"id":2025}]},"entities":{"values":[{"id":23,"name":"Australia","code":"AUS"},{"id":24,"name":"Austria","code":"AUT"},{"id":4,"name":"Belgium","code":"BEL"},{"id":44,"name":"Canada","code":"CAN"},{"id":172,"name":"Chile","code":"CHL"},{"id":165,"name":"Croatia","code":"HRV"},{"id":3,"name":"France","code":"FRA"},{"id":6,"name":"Germany","code":"DEU"},{"id":144,"name":"Hong Kong","code":"HKG"},{"id":8,"name":"Italy","code":"ITA"},{"id":210,"name":"Luxembourg","code":"LUX"},{"id":113,"name":"Mexico","code":"MEX"},{"id":5,"name":"Netherlands","code":"NLD"},{"id":106,"name":"New Zealand","code":"NZL"},{"id":11,"name":"Poland","code":"POL"},{"id":86,"name":"Singapore","code":"SGP"},{"id":9,"name":"Spain","code":"ESP"},{"id":10,"name":"Sweden","code":"SWE"},{"id":7,"name":"Switzerland","code":"CHE"},{"id":72,"name":"United Arab Emirates","code":"ARE"},{"id":1,"name":"United Kingdom","code":"GBR"},{"id":13,"name":"United States","code":"USA"}]}},"origins":[{"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"}}]}