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Automation and New Tasks: How Technology Displaces and Reinstates Labor

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  • Daron Acemoglu
  • Pascual Restrepo

Abstract

We present a framework for understanding the effects of automation and other types of technological changes on labor demand, and use it to interpret changes in US employment over the recent past. At the center of our framework is the allocation of tasks to capital and labor—the task content of production. Automation, which enables capital to replace labor in tasks it was previously engaged in, shifts the task content of production against labor because of a displacement effect. As a result, automation always reduces the labor share in value added and may reduce labor demand even as it raises productivity. The effects of automation are counterbalanced by the creation of new tasks in which labor has a comparative advantage. The introduction of new tasks changes the task content of production in favor of labor because of a reinstatement effect, and always raises the labor share and labor demand. We show how the role of changes in the task content of production—due to automation and new tasks—can be inferred from industry-level data. Our empirical decomposition suggests that the slower growth of employment over the last three decades is accounted for by an acceleration in the displacement effect, especially in manufacturing, a weaker reinstatement effect, and slower growth of productivity than in previous decades.

Suggested Citation

  • 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.
  • Handle: RePEc:aea:jecper:v:33:y:2019:i:2:p:3-30
    Note: DOI: 10.1257/jep.33.2.3
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    References listed on IDEAS

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    1. Joachim Hubmer, 2019. "The Race Between Preferences and Technology," 2019 Meeting Papers 1430, Society for Economic Dynamics.
    2. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    3. L. Rachel Ngai & Christopher A. Pissarides, 2007. "Structural Change in a Multisector Model of Growth," American Economic Review, American Economic Association, vol. 97(1), pages 429-443, March.
    4. Wright, Greg C., 2014. "Revisiting the employment impact of offshoring," European Economic Review, Elsevier, vol. 66(C), pages 63-83.
    5. vom Lehn, Christian, 2018. "Understanding the decline in the U.S. labor share: Evidence from occupational tasks," European Economic Review, Elsevier, vol. 108(C), pages 191-220.
    6. Jeffrey Lin, 2011. "Technological Adaptation, Cities, and New Work," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 554-574, May.
    7. Robert C. Feenstra & Gordon H. Hanson, 1999. "The Impact of Outsourcing and High-Technology Capital on Wages: Estimates For the United States, 1979–1990," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 907-940.
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    More about this item

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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