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Automation and New Tasks: The Implications of the Task Content of Production for Labor Demand

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  • Pascual Restrepo

    (Boston University)

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 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 (of an industry or economy) and may also 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

  • Pascual Restrepo, 2019. "Automation and New Tasks: The Implications of the Task Content of Production for Labor Demand," 2019 Meeting Papers 234, Society for Economic Dynamics.
  • Handle: RePEc:red:sed019:234
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    Cited by:

    1. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
    2. Shiller, Robert J., 2019. "Narratives about technology-induced job degradation then and now," Journal of Policy Modeling, Elsevier, vol. 41(3), pages 477-488.
    3. Robert J. Shiller, 2019. "Narratives about Technology-Induced Job Degradations Then and Now," NBER Working Papers 25536, National Bureau of Economic Research, Inc.
    4. Robert J. Shiller, 2019. "Narratives About Technology-Induced Job Degradation Then and Now," Cowles Foundation Discussion Papers 2168, Cowles Foundation for Research in Economics, Yale University.

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