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Generative Artificial Intelligence and Its Implications for Labor Markets in Developing Countries: A Review Essay

Author

Listed:
  • Guillermo Cruces

    (CEDLAS-IIE-FCE-UNLP, PEP &)

  • Verónica Amarante

    (Universidad de la República, Uruguay)

  • Estefanía Lotitto

    (CEDLAS-IIE-FCE-UNLP)

Abstract

The unprecedented developments in artificial intelligence technology and its recent widespread availability hold transformative potential to reshape global economic dynamics and labor markets, though opinions on its effects vary greatly. Transformative or not, the irruption of AI has sparked ample public discussion as well as the rapid development of theoretical and empirical approaches to understand it. This review essay discusses recent perspectives, theories, and empirical evidence on the matter, and adds a perspective of the implications of this technology and of the policy discussion it has sparked, from the perspective of developing countries’ economies. The latter is motivated by the relative scarcity of such perspectives in the current public debate, which seems to have minimized the potential effects on the interaction of labor markets between developing and developed countries, and on the potentially different within-country effects at different levels of development.

Suggested Citation

  • Guillermo Cruces & Verónica Amarante & Estefanía Lotitto, 2024. "Generative Artificial Intelligence and Its Implications for Labor Markets in Developing Countries: A Review Essay," CEDLAS, Working Papers 0343, CEDLAS, Universidad Nacional de La Plata.
    • Handle: RePEc:dls:wpaper:0343
    as

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    References listed on IDEAS

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    1. Diego Daruich & Raquel Fernández, 2024. "Universal Basic Income: A Dynamic Assessment," American Economic Review, American Economic Association, vol. 114(1), pages 38-88, January.
    2. Ed Felten & Manav Raj & Robert Seamans, 2023. "How will Language Modelers like ChatGPT Affect Occupations and Industries?," Papers 2303.01157, arXiv.org, revised Mar 2023.
    3. 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.
    4. Van Reenen, John, 2011. "Wage inequality, technology and trade: 21st century evidence," Labour Economics, Elsevier, vol. 18(6), pages 730-741.
    5. Claudia Goldin & Lawrence F. Katz, 1998. "The Origins of Technology-Skill Complementarity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 693-732.
    6. Brambilla, Irene & César, Andrés & Falcone, Guillermo & Gasparini, Leonardo, 2023. "The impact of robots in Latin America: Evidence from local labor markets," World Development, Elsevier, vol. 170(C).
    7. Pascual Restrepo, 2023. "Automation: Theory, Evidence, and Outlook," NBER Working Papers 31910, National Bureau of Economic Research, Inc.
    8. Faber, Marius, 2020. "Robots and reshoring: Evidence from Mexican labor markets," Journal of International Economics, Elsevier, vol. 127(C).
    9. Arnaud Costinot & Iván Werning, 2023. "Robots, Trade, and Luddism: A Sufficient Statistic Approach to Optimal Technology Regulation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2261-2291.
    10. Carneiro, Pedro & Lee, Sokbae, 2009. "Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality," Journal of Econometrics, Elsevier, vol. 149(2), pages 191-208, April.
    11. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2006. "The Polarization of the U.S. Labor Market," American Economic Review, American Economic Association, vol. 96(2), pages 189-194, May.
    12. 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.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • 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

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