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IT investment and labor displacement: Evidence from Korea

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  • Lee, Joonbae

Abstract

There is widespread concern that many companies heavily invest in IT, such as artificial intelligence (AI) and cloud technologies, in order to replace human labor. Using novel Korean data, we verify whether such an effect is present in the cross-sectional variation among firms’ IT investment and workforce size. At the firm level, the economy-wide effect of doubling IT investment per worker is associated with a reduction of over 60 workers in total workforce size. Meanwhile, IT investment seems to be enhancing productivity, as reflected in its positive association with both the total salary bill and the average wage per capita. The overall effect of IT investment appears to be a decrease in the labor share. Despite the strong government-led push for the adoption of new IT technologies during the same period, the analysis suggests that this effort should be complemented by additional policy measures to mitigate the potential impacts of reduced human involvement in production.

Suggested Citation

  • Lee, Joonbae, 2025. "IT investment and labor displacement: Evidence from Korea," Telecommunications Policy, Elsevier, vol. 49(7).
  • Handle: RePEc:eee:telpol:v:49:y:2025:i:7:s0308596125000965
    DOI: 10.1016/j.telpol.2025.102999
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    References listed on IDEAS

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    1. David Autor, 2024. "Applying AI to Rebuild Middle Class Jobs," NBER Working Papers 32140, National Bureau of Economic Research, Inc.
    2. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    3. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    4. Sangmin Aum & Yongseok Shin, 2024. "Is Software Eating the World?," NBER Working Papers 32591, National Bureau of Economic Research, Inc.
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