This time it’s different – Generative artificial intelligence and occupational choice
• ChatGPT reduced search intensity for apprenticeship vacancies by 8% on average • Decline was strongest in jobs involving cognitive tasks and high language skills • Occupations previously considered “safe” from automation were also highly affected • Changes in search behaviour align with the most recent assessments of AI exposure • Applicant quality declined, particularly for commercial apprenticeships We show the causal influence of the launch of generative artificial intelligence (AI) in the form of ChatGPT on the search behavior of young people for apprenticeship vacancies. To estimate the short- and medium-term effects, we use a variety of methods, including a difference-in-discontinuity approach exploiting the exogenous nature of the unanticipated launch of ChatGPT in 2022. There is a strong short- and medium-term decline in the intensity of searches for vacancies, indicating a notable reduction in the supply of young people actively seeking apprenticeships and suggesting great uncertainty among the affected cohort. Occupations with a high proportion of cognitive tasks and with high demands on language skills were particularly affected by the decline. Interestingly, the revealed preferences in the search behavior of young job seekers contrasted with previous expert assessments on the automation risks of occupations and aligned with the most recent assessments of the AI and language model exposure of occupations – before these new assessments existed. Notably, while the supply decline did not reduce the number of signed apprenticeship contracts, we find evidence of declining applicant quality, particularly for commercial employees, the most widely offered apprenticeship in Switzerland.
Authors
- Stefan C. Wolter (ORCID: https://orcid.org/0000-0003-2721-2284)
- Christian Gschwendt (ORCID: https://orcid.org/0000-0001-9281-421X)
- Daniel Göller (ORCID: https://orcid.org/0000-0002-3879-0744)
Institutions
- University of Bern (CH)
- FORS – Swiss Centre of Expertise in the Social Sciences (CH)
- Pädagogische Hochschule Bern (CH)
Publication Details
- Journal
- Labour Economics
- Published
- 2025-06-08
- DOI
- https://doi.org/10.1016/j.labeco.2025.102746
- Citations
- 5
- Primary Topic
- Retirement, Disability, and Employment
- Type
- article
- Field-Weighted Citation Impact
- 27.96