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Artificial Intelligence and the Future of Work: Evidence and Policy Guidelines for Developing Economies

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  • Egana-delSol, Pablo

    (Adolfo Ibanez University)

  • Vargas-Faulbaum, Luis

    (Adolfo Ibanez University)

Abstract

This article offers a comprehensive review of Artificial Intelligence's (AI) effects on global labour markets, with a particular focus on developing economies. Drawing on an extensive body of evidence, it demonstrates that AI's disruptive potential diverges markedly from earlier waves of automation, extending its reach into occupations once deemed insulated - especially those demanding advanced education and complex cognitive abilities. The analysis reveals significant in AI exposure across countries at different development stages and among workers distinguished by skill sets, educational attainment, age, and gender, underscoring its unequal distributional consequences. To harness AI's benefits while safeguarding vulnerable groups, we propose four strategic policy levers: bolstering digital infrastructure, expanding vocational training and lifelong upskilling programmes, formalising labour markets, and integrating AI tools within social protection delivery. Collectively, these measures foster a human centred adoption of AI, bridge the digital divide, and promote inclusive growth, thereby mitigating adverse impacts on employment and wages.

Suggested Citation

  • Egana-delSol, Pablo & Vargas-Faulbaum, Luis, 2025. "Artificial Intelligence and the Future of Work: Evidence and Policy Guidelines for Developing Economies," IZA Policy Papers 216, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izapps:pp216
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    References listed on IDEAS

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    1. Nick Drydakis, 2024. "Artificial intelligence capital and employment prospects," Oxford Economic Papers, Oxford University Press, vol. 76(4), pages 901-919.
    2. Maloney,William F. & Molina,Carlos A., 2016. "Are automation and trade polarizing developing country labor markets, too ?," Policy Research Working Paper Series 7922, The World Bank.
    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. Karina Doorley & Jan Gromadzki & Piotr Lewandowski & Dora Tuda & Philippe Van Kerm, 2023. "Automation and income inequality in Europe," LISER Working Paper Series 2023-11, Luxembourg Institute of Socio-Economic Research (LISER).
    5. repec:osf:socarx:kdz5e_v1 is not listed on IDEAS
    6. 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.
    7. Marguerita Lane & Morgan Williams & Stijn Broecke, 2023. "The impact of AI on the workplace: Main findings from the OECD AI surveys of employers and workers," OECD Social, Employment and Migration Working Papers 288, OECD Publishing.
    8. Mr. Bas B. Bakker & Sophia Chen & Dmitry Vasilyev & Olga Bespalova & Moya Chin & Daria Kolpakova & Archit Singhal & Yuanchen Yang, 2024. "What Can Artificial Intelligence Do for Stagnant Productivity in Latin America and the Caribbean?," IMF Working Papers 2024/219, International Monetary Fund.
    9. Edward Felten & Manav Raj & Robert Seamans, 2021. "Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses," Strategic Management Journal, Wiley Blackwell, vol. 42(12), pages 2195-2217, December.
    10. Gmyrek, Pawel, & Berg, Janine, & Bescond, David,, 2023. "Generative AI and jobs a global analysis of potential effects on job quantity and quality," ILO Working Papers 995324892702676, International Labour Organization.
    11. Benítez, Miguel & Parrado, Eric, 2024. "Mirror, Mirror on the Wall: Which Jobs Will AI Replace After All?: A New Index of Occupational Exposure," IDB Publications (Working Papers) 13696, Inter-American Development Bank.
    12. Arntz, Melanie & Genz, Sabrina & Gregory, Terry & Lehmer, Florian & Zierahn-Weilage, Ulrich, 2024. "De-routinization in the fourth industrial revolution: Firm-level evidence," ZEW Discussion Papers 24-005, ZEW - Leibniz Centre for European Economic Research.
    13. Ailbhe Brioscú & Anne Lauringson & Anne Saint-Martin & Theodora Xenogiani, 2024. "A new dawn for public employment services: Service delivery in the age of artificial intelligence," OECD Artificial Intelligence Papers 19, OECD Publishing.
    14. 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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    More about this item

    Keywords

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    JEL classification:

    • 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
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • 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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