Arbeitspapier

Artificial intelligence and workers' well-being

This study explores the relationship between artificial intelligence (AI) and workers' well-being and mental health using longitudinal survey data from Germany (2000-2020). We construct a measure of individual exposure to AI technology based on the occupation in which workers in our sample were first employed and explore an event study design and a difference-in-differences approach to compare AI-exposed and non-exposed workers. Before AI became widely available, there is no evidence of differential pre-trends in workers' well-being and concerns about their economic futures. Since 2015, however, with the increasing adoption of AI in firms across Germany, we find that AI-exposed workers have become less satisfied with their life and job and more concerned about job security and their personal economic situation. However, we find no evidence of a significant impact of AI on workers' mental health, anxiety, or depression.

Sprache
Englisch

Erschienen in
Series: SOEPpapers on Multidisciplinary Panel Data Research ; No. 1194

Klassifikation
Wirtschaft
Health: General
Safety; Job Satisfaction; Related Public Policy
Innovation; Research and Development; Technological Change; Intellectual Property Rights: General
Thema
Artificial Intelligence
Future of Work
Well-being
Mental Health

Ereignis
Geistige Schöpfung
(wer)
Giuntella, Osea
König, Johannes
Stella, Luca
Ereignis
Veröffentlichung
(wer)
Deutsches Institut für Wirtschaftsforschung (DIW)
(wo)
Berlin
(wann)
2023

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Giuntella, Osea
  • König, Johannes
  • Stella, Luca
  • Deutsches Institut für Wirtschaftsforschung (DIW)

Entstanden

  • 2023

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