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Tasks At Work: Comparative Advantage, Technology and Labor Demand

Author

Listed:
  • Daron Acemoglu

    (MIT)

  • Fredric Kong

    (MIT)

  • Pascual Restrepo

    (Yale University)

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.

Suggested Citation

  • Daron Acemoglu & Fredric Kong & Pascual Restrepo, 2025. "Tasks At Work: Comparative Advantage, Technology and Labor Demand," RFBerlin Discussion Paper Series 2535, Rockwool Foundation Berlin (RF Berlin).
  • Handle: RePEc:crm:wpaper:2535
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    References listed on IDEAS

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    Cited by:

    1. Lukas B. Freund & Lukas F. Mann, 2025. "Job Transformation, Specialization, and the Labor Market Effects of AI," CESifo Working Paper Series 12072, CESifo.
    2. 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).
    3. 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.
    4. Christina Gathmann & Felix Grimm & Erwin Winkler, 2024. "AI, Task Changes in Jobs, and Worker Reallocation," CESifo Working Paper Series 11585, CESifo.

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    Keywords

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    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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