AI Adoption and Workplace Training

Samuel Mühlemann ()
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Samuel Mühlemann: University of Munich

No 17367, IZA Discussion Papers from Institute of Labor Economics (IZA)

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-ain, nep-hrm and nep-lma
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