Automatisierungspotenziale von beruflichen Tätigkeiten: Künstliche Intelligenz und Software – Beschäftigte sind unterschiedlich betroffen (On the Automation of Job Tasks: Occupational exposure to AI and Software)

Marie-Christine Fregin, Theresa Koch, Verena Malfertheiner, Pelin Özgül and Michael Stops
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Marie-Christine Fregin: Research Centre for Education and the Labor Market an der Universität Maastricht
Theresa Koch: Institute for Employment Research (IAB), Nuremberg, Germany ; Selbstverwaltung der Bundesagentur für Arbeit
Verena Malfertheiner: Institute for Employment Research (IAB), Nuremberg, Germany
Pelin Özgül: Research Centre for Education and the Labor Market an der Universität Maastricht
Michael Stops: Institute for Employment Research (IAB), Nuremberg, Germany

No 202321, IAB-Kurzbericht from Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]

Abstract: "While the rapid advances in digital technologies transformed the occupational structures and workers‘ skill and task composition over the past decades, much less is known how Artificial Intelligence technologies (AI) will shape future labour markets. As part of the ai:conomics project, we analyze the extent to which employees subject to social security contributions are potentially exposed to software technology (excluding AI) and AI in Germany. The results show that highly-educated, high-income workers are most exposed to AI, while their exposure is lower to software. Overall, our results suggest that given AI’s far-reaching potential to carry out different sets of tasks, these technologies are expected to impact workers across a wider skill and wage spectrum that previous automation technologies had limited impact on." (Author's abstract, IAB-Doku) ((en))

Keywords: Bundesrepublik Deutschland; IAB-Open-Access-Publikation; Auswirkungen; Automatisierungsgrad; Berufsgruppe; Fachkräftebedarf; Geschlechterverteilung; Hochqualifizierte; Integrierte Erwerbsbiografien; künstliche Intelligenz; Qualifikationsniveau; sektorale Verteilung; Software; Substitutionspotenzial; Tätigkeitsmerkmale; technischer Wandel; 2012-2019 (search for similar items in EconPapers)
Pages: 8 pages
Date: 2023-12-07
New Economics Papers: this item is included in nep-ger
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https://doi.org/10.48720/IAB.KB.2321

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Persistent link: https://EconPapers.repec.org/RePEc:iab:iabkbe:202321

DOI: 10.48720/IAB.KB.2321

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