Generative AI and Jobs A Refined Global Index of Occupational Exposure Created bySabina Párraga Pérez|Updated04 June 2025The ILO’s 2025 report “Generative AI and Jobs A Refined Global Index of Occupational Exposure” supplements its earlier assessment of how generative AI may impact jobs by using a more detailed dataset and updated AI models. Drawing on Polish labor data, worker surveys, and expert reviews, it introduces a new framework that ranks occupations across four exposure levels based on how automatable their tasks are.The study finds that about 25% of global workers are in jobs with some AI exposure, but only 3.3% fall into the highest-risk category. Clerical and digital roles are most exposed, with women and workers in high-income countries facing greater risks due to job type and tech access.Importantly, the report emphasises that exposure doesn’t mean job loss. Most jobs involve varied tasks, making full automation unlikely. Instead, AI will likely transform jobs and eventually augment them. Finally, the report calls for a human-centered approach to AI adoption, focusing on worker training, inclusive policies, and adapting jobs rather than eliminating them.Skills intelligence publication detailsWebsite linkGenerative AI and Jobs A Refined Global Index of Occupational ExposureTarget audienceDigital skills for the labour force.Digital technology / specialisationArtificial IntelligenceDigital skillsDigital skill levelBasicIntermediateAdvancedGeographic scope - CountryAustriaBelgiumBulgariaCyprusRomaniaSloveniaCroatiaCzech republicDenmarkEstoniaFinlandFranceGermanyGreeceHungaryItalyIrelandMaltaLatviaLithuaniaLuxembourgNetherlandsPortugalPolandSwedenSpainSlovakiaAlbaniaBelarusBosnia and HerzegovinaCanadaIcelandIsraelJapanKosovoMontenegroMoroccoNorth MacedoniaNorwaySerbiaSwitzerlandSouth KoreaRussiaTunisiaTurkeyUkraineUnited KingdomUSAShow moreShow lessIndustry - field of education and trainingGeneric programmes and qualifications not further definedGeographical sphereInternational initiativePublication typeReport Share this page Log in to comment
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