Artificial Intelligence and Workers' Well-Being

45 Pages Posted: 4 Oct 2023

See all articles by Osea Giuntella

Osea Giuntella

University of Oxford

Johannes Koenig

German Institute for Economic Research (DIW Berlin)

Luca Stella

Bocconi University; IZA Institute of Labor Economics


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.

Keywords: artificial intelligence, future of work, well-being, mental health

JEL Classification: I10, J28, O30

Suggested Citation

Giuntella, Osea and Koenig, Johannes and Stella, Luca, Artificial Intelligence and Workers' Well-Being. IZA Discussion Paper No. 16485, Available at SSRN: or

Osea Giuntella (Contact Author)

University of Oxford ( email )

No Address Available

Johannes Koenig

German Institute for Economic Research (DIW Berlin) ( email )

Mohrenstraße 58
Berlin, 10117

Luca Stella

Bocconi University ( email )

Via Sarfatti, 25
Milan, MI 20136

IZA Institute of Labor Economics ( email )

P.O. Box 7240
Bonn, D-53072

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