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

Author

Listed:
  • Fregin, Marie-Christine

    (Research Centre for Education and the Labor Market an der Universität Maastricht)

  • Koch, Theresa

    (Institute for Employment Research (IAB), Nuremberg, Germany ; Selbstverwaltung der Bundesagentur für Arbeit)

  • Malfertheiner, Verena

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Özgül, Pelin

    (Research Centre for Education and the Labor Market an der Universität Maastricht)

  • Stops, Michael

    (Institute for Employment Research (IAB), 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))

Suggested Citation

  • Fregin, Marie-Christine & Koch, Theresa & Malfertheiner, Verena & Özgül, Pelin & Stops, Michael, 2023. "Automatisierungspotenziale von beruflichen Tätigkeiten: Künstliche Intelligenz und Software – Beschäftigte sind unterschiedlich betroffen (On the Automation of Job Tasks: Occupational exposure to AI a," IAB-Kurzbericht 202321, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabkbe:202321
    DOI: 10.48720/IAB.KB.2321
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