Artificial intelligence technologies, skills demand and employment: evidence from linked job ads data

Lennert Peede and Michael Stops
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Lennert Peede: Institute for Employment Research (IAB), Nuremberg, Germany
Michael Stops: Institute for Employment Research (IAB), Nuremberg, Germany

No 202415, IAB-Discussion Paper from Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]

Abstract: "We study how artificial intelligence (AI) affects labour demand at the establishment level. We use the share of AI related vacancy postings at the establishment level to measure efforts to develop, implement or use AI technologies. Low overall AI vacancy shares show that we study a phase of early AI adoption. At the establishment level, the AI vacancy share relates to a small reduction in those skills which are not related to AI technologies. We further find no effects on overall employment growth but slightly higher employment growth in jobs for highly skilled workers." (Author's abstract, IAB-Doku) ((en))

Keywords: Bundesrepublik Deutschland; IAB-Open-Access-Publikation; Auswirkungen; Kompetenzprofil; Beschäftigungseffekte; Betrieb; Entwicklung; Jobbörse; künstliche Intelligenz; Anwendung; Qualifikationsanforderungen; IAB-Stellenerhebung; Stellenanzeige; Stellenausschreibung; Arbeitskräftenachfrage; 2015-2019 (search for similar items in EconPapers)
JEL-codes: E23 J24 J63 O33 (search for similar items in EconPapers)
Pages: 62 pages
Date: 2024-11-22
New Economics Papers: this item is included in nep-ain, nep-ino, nep-lma and nep-tid
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https://doi.org/10.48720/IAB.DP.2415

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Persistent link: https://EconPapers.repec.org/RePEc:iab:iabdpa:202415

DOI: 10.48720/IAB.DP.2415

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