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The demand for AI skills in the labor market

Author

Listed:
  • Alekseeva, Liudmila
  • Azar, José
  • Giné, Mireia
  • Samila, Sampsa
  • Taska, Bledi

Abstract

Using detailed data on skill requirements in online vacancies, we estimate the demand for AI specialists across occupations, sectors, and firms. We document a dramatic increase in the demand for AI skills over 2010–2019 in the U.S. economy across most industries and occupations. The demand is highest in IT occupations, followed by architecture and engineering, scientific, and management occupations. Firms with larger market capitalization, higher cash holdings, and higher investments in R&D have a higher demand for AI skills. We also document a wage premium of 11% for job postings that require AI skills within the same firm and 5% within the same job title. Managerial occupations have the highest wage premium for AI skills. Firms demanding AI skills more intensively also offer higher salaries in non-AI jobs.

Suggested Citation

  • Alekseeva, Liudmila & Azar, José & Giné, Mireia & Samila, Sampsa & Taska, Bledi, 2021. "The demand for AI skills in the labor market," Labour Economics, Elsevier, vol. 71(C).
    • Handle: RePEc:eee:labeco:v:71:y:2021:i:c:s0927537121000373
    DOI: 10.1016/j.labeco.2021.102002
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    References listed on IDEAS

    as
    1. David Deming & Lisa B. Kahn, 2018. "Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for Professionals," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 337-369.
    2. Bresnahan, Timothy F. & Trajtenberg, M., 1995. "General purpose technologies 'Engines of growth'?," Journal of Econometrics, Elsevier, vol. 65(1), pages 83-108, January.
    3. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    4. David J. Deming & Kadeem L. Noray, 2018. "STEM Careers and the Changing Skill Requirements of Work," NBER Working Papers 25065, National Bureau of Economic Research, Inc.
    5. Sylvain Chassang & Lucia Del Carpio & Samuel Kapon, 2020. "Making the Most of Limited Government Capacity: Theory and Experiment," Working Papers 278, Princeton University, Department of Economics, Center for Economic Policy Studies..
    6. 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.
    7. 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.
    8. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    9. Heckman, James J. & Kautz, Tim, 2012. "Hard evidence on soft skills," Labour Economics, Elsevier, vol. 19(4), pages 451-464.
    10. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
    11. Yuriy Gorodnichenko & Monika Schnitzer, 2013. "Financial Constraints And Innovation: Why Poor Countries Don'T Catch Up," Journal of the European Economic Association, European Economic Association, vol. 11(5), pages 1115-1152, October.
    12. Modestino, Alicia Sasser & Shoag, Daniel & Ballance, Joshua, 2016. "Downskilling: changes in employer skill requirements over the business cycle," Labour Economics, Elsevier, vol. 41(C), pages 333-347.
    13. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2020. "AI and Jobs: Evidence from Online Vacancies," NBER Working Papers 28257, National Bureau of Economic Research, Inc.
    14. Seth G. Benzell & Laurence J. Kotlikoff & Guillermo LaGarda & Jeffrey D. Sachs, 2015. "Robots Are Us: Some Economics of Human Replacement," NBER Working Papers 20941, National Bureau of Economic Research, Inc.
    15. Morgan R. Frank & David Autor & James E. Bessen & Erik Brynjolfsson & Manuel Cebrian & David J. Deming & Maryann Feldman & Matthew Groh & José Lobo & Esteban Moro & Dashun Wang & Hyejin Youn & Iyad Ra, 2019. "Toward understanding the impact of artificial intelligence on labor," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(14), pages 6531-6539, April.
    16. Peter Q. Blair & David J. Deming, 2020. "Structural Increases in Skill Demand after the Great Recession," NBER Working Papers 26680, National Bureau of Economic Research, Inc.
    17. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    18. Avi Goldfarb & Bledi Taska & Florenta Teodoridis, 2020. "Artificial Intelligence in Health Care? Evidence from Online Job Postings," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 400-404, May.
    19. 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.
    20. Nuri Ersahin, 2017. "Creditor Rights, Technology Adoption, and Productivity: Plant-Level Evidence," Working Papers 17-36, Center for Economic Studies, U.S. Census Bureau.
    21. 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.
    22. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    23. Peter Q. Blair & David J. Deming, 2020. "Structural Increases in Demand for Skill after the Great Recession," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 362-365, May.
    24. Seth G. Benzell & Laurence J. Kotlikoff & Guillermo LaGarda & Jeffrey D. Sachs, 2015. "Robots Are Us: Some Economics of Human Replacement," NBER Working Papers 20941, National Bureau of Economic Research, Inc.
    25. Donald M. Topkis, 1978. "Minimizing a Submodular Function on a Lattice," Operations Research, INFORMS, vol. 26(2), pages 305-321, April.
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