Abstract

We analyze the impact of AI-augmented training on worker productivity in a financial services company. The company introduced an AI tool that provides performance feedback on call center agents to guide their training. To estimate causal effects, we exploit the staggered roll out of the AI-tool. The AI-augmented training reduces call handling time by 10 percent. We find larger effects for short-tenured workers because they spend less time putting clients on hold. But the AI-augmented training also improves communication style with relatively stronger effects for long-tenured agents, and we find slightly positive effects on customer satisfaction.
Original languageEnglish
Place of PublicationBonn
PublisherIZA, Bonn
Number of pages41
Publication statusPublished - Oct 2025

Publication series

SeriesIZA Discussion Paper Series
Number18224
ISSN2365-9793

JEL classifications

  • j24 - "Human Capital; Skills; Occupational Choice; Labor Productivity"
  • o31 - Innovation and Invention: Processes and Incentives
  • o33 - "Technological Change: Choices and Consequences; Diffusion Processes"

Keywords

  • artificial intelligence
  • training
  • performance feedback
  • employee productivity

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