Anticipating the impact of AI on occupations: a JRC methodology
François Dessart (),
Enrique Fernandez Macias () and
Emilia Gomez Gutierrez ()
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François Dessart: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Enrique Fernandez Macias: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Emilia Gomez Gutierrez: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
No JRC142580, JRC Research Reports from Joint Research Centre
Abstract:
The Joint Research Centre has developed a methodology to assess the relative impact of AI on occupations. It is based on a mapping between the amount of research in AI and occupations, linking them through cognitive abilities and work tasks.The methodology was used to calculate an AI exposure score for 100+ occupations. AI has the largest impact on occupations such as engineers, administration professionals (including policymakers), and teachers. In contrast, cleaners and construction labourers are much less impacted by AI. With the fast advancement of AI, this score can be updated to anticipate the likely impact of emerging AI technologies on occupations.
Date: 2025-06
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Persistent link: https://EconPapers.repec.org/RePEc:ipt:iptwpa:jrc142580
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