AI Adoption and Workplace Training

Samuel Muehlemann

No 232, Economics of Education Working Paper Series from University of Zurich, Department of Business Administration (IBW)

Abstract: This paper investigates the impact of artificial intelligence (AI) adoption in production processes on workplace training practices, using firm-level data from the BIBB establishment panel on training and competence development (2019-2021). The findings reveal that AI adoption reduces the provision of continuing training for incumbent workers while increasing the share of high-skilled new hires and decreasing medium-skilled hires, thereby contributing to skill polarization. However, AI adoption also increases the number of apprenticeship contracts, particularly in small and medium-sized enterprises (SMEs), underscoring the ongoing importance of apprenticeships in preparing future workers with the skills needed to apply AI in production.

Keywords: Artificial Intelligence; Technological Change; Automation; Apprenticeship Training; Human Capital (search for similar items in EconPapers)
JEL-codes: J23 J24 M53 O33 (search for similar items in EconPapers)
Pages: 38 pages
Date: 2024-10
New Economics Papers: this item is included in nep-sbm and nep-tid
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Persistent link: https://EconPapers.repec.org/RePEc:iso:educat:0232

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