AI Adoption and Workplace Training

Samuel Muehlemann

Research output: Working paper / PreprintDiscussion paper

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.
Original languageEnglish
PublisherIZA Institute of Labor Economics
Number of pages35
Publication statusPublished - Oct 2024

Publication series

SeriesIZA Discussion Paper Series
Number17367
ISSN2365-9793

JEL classifications

  • j23 - Labor Demand
  • j24 - "Human Capital; Skills; Occupational Choice; Labor Productivity"
  • m53 - Personnel Economics: Training
  • o33 - "Technological Change: Choices and Consequences; Diffusion Processes"

Keywords

  • artificial intelligence
  • technological change
  • automation
  • apprenticeship training
  • human capital

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