@TechReport{iza:izadps:dp17367,
            	author={Mühlemann, Samuel},
            	title={AI Adoption and Workplace Training},
            	year={2024},
	month={Oct},
            	institution={Institute of Labor Economics (IZA)},
            	address={Bonn},
            	type={IZA Discussion Paper},
            	number={17367},
            	url={https://www.iza.org/publications/dp17367},
	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={automation;technological change;artificial intelligence;apprenticeship training;human capital},
            }