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COVID-19 and Implications for Automation

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  • Alex W. Chernoff
  • Casey Warman

Abstract

COVID-19 may accelerate the automation of jobs, as employers invest in technology to adapt the production process to safeguard against current and potential future pandemics. We identify occupations that have high automation potential and also exhibit a high degree of risk of viral infection. We then examine regional variation in terms of which U.S. local labor markets are most at risk. Next, we outline the differential impact that COVID-19 may have on automatable jobs for different demographic groups. We find that occupations held by U.S. females with mid to low levels of wages and education are at highest risk. Using comparable data for 25 other countries, we find women in this demographic are also at highest risk internationally.

Suggested Citation

  • Alex W. Chernoff & Casey Warman, 2020. "COVID-19 and Implications for Automation," NBER Working Papers 27249, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27249
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    1. Nir Jaimovich & Henry E. Siu, 2020. "Job Polarization and Jobless Recoveries," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 129-147, March.
    2. Patrick Baylis & Pierre‐Loup Beauregard & Marie Connolly & Nicole M. Fortin & David A. Green & Pablo Gutiérrez‐Cubillos & Samuel Gyetvay & Catherine Haeck & Tímea Laura Molnár & Gaëlle Simard‐Duplain , 2022. "The distribution of COVID‐19–related risks," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 172-213, February.
      • Patrick Baylis & Pierre-Loup Beauregard & Marie Connolly & Nicole Fortin & David A. Green & Pablo Gutierrez Cubillos & Sam Gyetvay & Catherine Haeck & Timea Laura Molnar & Gaëlle Simard-Duplain & Henr, 2020. "The Distribution of COVID-19 Related Risks," NBER Working Papers 27881, National Bureau of Economic Research, Inc.
      • Patrick Baylis & Pierre-Loup Beauregard & Marie Connolly & Nicole Fortin & David A. Green & Pablo Gutiérrez-Cubillos & Samuel Gyetvay & Catherine Haeck & Tímea L. Molnár & Gäelle Simard-Duplain & Henr, 2020. "The Distribution of COVID-19 Related Risks," CIRANO Working Papers 2020s-50, CIRANO.
    3. Sotiris Blanas & Gino Gancia & Sang Yoon (Tim) Lee, 2019. "Who is afraid of machines?," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 627-690.
    4. Emil Mihaylov & Kea Tijdens, 2019. "Measuring the Routine and Non-Routine Task Content of 427 Four-Digit ISCO-08 Occupations," Tinbergen Institute Discussion Papers 19-035/IV, Tinbergen Institute.
    5. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    6. Brad Hershbein & Lisa B. Kahn, 2018. "Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings," American Economic Review, American Economic Association, vol. 108(7), pages 1737-1772, July.
    7. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    8. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    9. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    10. Alexander W. Bartik & Marianne Bertrand & Feng Lin & Jesse Rothstein & Matthew Unrath, 2020. "Measuring the Labor Market at the Onset of the COVID-19 Crisis," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(2 (Summer), pages 239-268;316.
    11. 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.
    12. Alan S. Blinder, 2009. "How Many US Jobs Might be Offshorable?," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 10(2), pages 41-78, April.
    13. 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.
    14. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    15. James Bessen, 2019. "Automation and jobs: when technology boosts employment," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 589-626.
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    More about this item

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • 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
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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