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Tasks At Work: Comparative Advantage, Technology and Labor Demand

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  • Daron Acemoglu
  • Fredric Kong
  • Pascual Restrepo

Abstract

This chapter reviews recent advances in the task model and shows how this framework can be put to work to understand trends in the labor market in recent decades. Production in each industry requires the completion of various tasks that can be assigned to workers with different skills or to capital. Factors of production have well-defined comparative advantage across tasks, which governs substitution patterns. Technological change can: (1) augment a specific labor type—e.g., increase the productivity of labor in tasks it is already performing; (2) augment capital; (3) automate work by enabling capital to perform tasks previously allocated to labor; (4) create new tasks. The task model clarifies that these different technologies have distinct effects on labor demand, factor shares, and productivity and their full impact depends on the substitution patterns between workers that arise endogenously in the task framework. We explore the implications of the task framework using reduced-form evidence, highlighting the central role of automation and new tasks in recent labor market trends. We also explain how the general equilibrium effects ignored in these reduced-form approaches can be estimated structurally.

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  • Daron Acemoglu & Fredric Kong & Pascual Restrepo, 2024. "Tasks At Work: Comparative Advantage, Technology and Labor Demand," NBER Working Papers 32872, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:32872
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    1. Hideki Nakamura & Joseph Zeira, 2024. "Automation and unemployment: help is on the way," Journal of Economic Growth, Springer, vol. 29(2), pages 215-250, June.
    2. David Card & Thomas Lemieux, 2001. "Can Falling Supply Explain the Rising Return to College for Younger Men? A Cohort-Based Analysis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 705-746.
    3. Pascual Restrepo, 2024. "Automation: Theory, Evidence, and Outlook," Annual Review of Economics, Annual Reviews, vol. 16(1), pages 1-25, August.
    4. Andy Feng & Georg Graetz, 2020. "Training Requirements, Automation, and Job Polarisation," The Economic Journal, Royal Economic Society, vol. 130(631), pages 2249-2271.
    5. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    6. Van Reenen, John, 2011. "Wage inequality, technology and trade: 21st century evidence," Labour Economics, Elsevier, vol. 18(6), pages 730-741.
    7. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    8. Jeffrey Lin, 2011. "Technological Adaptation, Cities, and New Work," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 554-574, May.
    9. David H. Autor & Michael J. Handel, 2013. "Putting Tasks to the Test: Human Capital, Job Tasks, and Wages," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 59-96.
    10. Dirk Krueger & Fabrizio Perri & Luigi Pistaferri & Giovanni L. Violante, 2010. "Cross Sectional Facts for Macroeconomists," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 1-14, January.
    11. Benjamin Moll & Lukasz Rachel & Pascual Restrepo, 2022. "Uneven Growth: Automation's Impact on Income and Wealth Inequality," Econometrica, Econometric Society, vol. 90(6), pages 2645-2683, November.
    12. Nicola Fuchs-Schuendeln & Dirk Krueger & Mathias Sommer, 2010. "Inequality Trends for Germany in the Last Two Decades: A Tale of Two Countries," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 103-132, January.
    13. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    14. Hernando Zuleta, 2008. "Factor Saving Innovations and Factor Income Shares," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(4), pages 836-851, October.
    15. Gene M. Grossman & Esteban Rossi-Hansberg, 2008. "Trading Tasks: A Simple Theory of Offshoring," American Economic Review, American Economic Association, vol. 98(5), pages 1978-1997, December.
    16. Dornbusch, Rudiger & Fischer, Stanley & Samuelson, Paul A, 1977. "Comparative Advantage, Trade, and Payments in a Ricardian Model with a Continuum of Goods," American Economic Review, American Economic Association, vol. 67(5), pages 823-839, December.
    17. Leonid Kogan & Dimitris Papanikolaou & Lawrence D. W. Schmidt & Bryan Seegmiller, 2021. "Technology, Vintage-Specific Human Capital, and Labor Displacement: Evidence from Linking Patents with Occupations," NBER Working Papers 29552, National Bureau of Economic Research, Inc.
    18. Machin, Stephen & Van Reenen, John, 2010. "Inequality: still higher, but labour's policies kept it down," LSE Research Online Documents on Economics 57989, London School of Economics and Political Science, LSE Library.
    19. Teulings, Coen N, 1995. "The Wage Distribution in a Model of the Assignment of Skills to Jobs," Journal of Political Economy, University of Chicago Press, vol. 103(2), pages 280-315, April.
    20. Sattinger, Michael, 1975. "Comparative Advantage and the Distributions of Earnings and Abilities," Econometrica, Econometric Society, vol. 43(3), pages 455-468, May.
    21. 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.
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    Cited by:

    1. Christina Gathmann & Felix Grimm & Erwin Winkler, 2024. "AI, Task Changes in Jobs, and Worker Reallocation," CESifo Working Paper Series 11585, CESifo.
    2. Hanson, Gordon H. & Moretti, Enrico, 2025. "Where Have All the Good Jobs Gone? Changes in the Geography of Work in the U.S., 1980-2021," SocArXiv z6qkn_v1, Center for Open Science.
    3. Xie, Da & Zhang, Min & Bing, Pijing, 2025. "Manual task intensity and male-female wage gap: Evidence from China," Finance Research Letters, Elsevier, vol. 76(C).
    4. Lukas B. Freund & Lukas F. Mann, 2025. "Job Transformation, Specialization, and the Labor Market Effects of AI," CESifo Working Paper Series 12072, CESifo.

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    More about this item

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • 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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