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Economic impact of AI in emerging market economies

Author

Listed:
  • Leonardo Gambacorta
  • Enisse Kharroubi
  • Aaron Mehrotra
  • Livia Pancotto

Abstract

The productivity and growth effects of artificial intelligence (AI) vary widely across countries, reflecting differences in sectoral composition and in the capacity to adopt and deploy AI. While advanced economies (AEs) are generally better positioned to reap the benefits of AI in the near term, substantial heterogeneity exists within emerging market economies (EMEs). AI preparedness – covering digital infrastructure, skills and institutional capacity – is a key determinant of overall gains, amplifying productivity effects where it is strong and constraining them where gaps persist, particularly in many EMEs. Closing AI preparedness gaps can support long-term convergence, as stronger infrastructure, human capital and institutions would enable EMEs to harness AI more effectively, help mitigate labour market risks through reskilling and retraining policies, and narrow growth differences with AEs.

Suggested Citation

  • Leonardo Gambacorta & Enisse Kharroubi & Aaron Mehrotra & Livia Pancotto, 2026. "Economic impact of AI in emerging market economies," BIS Bulletins 121, Bank for International Settlements.
    • Handle: RePEc:bis:bisblt:121
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    References listed on IDEAS

    as
    1. Daron Acemoglu, 2025. "The simple macroeconomics of AI," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 40(121), pages 13-58.
    2. Nicholas Crafts, 2021. "Artificial intelligence as a general-purpose technology: an historical perspective," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 521-536.
    3. Iñaki Aldasoro & Sebastian Doerr & Daniel Rees, 2026. "Financing the AI boom: from cash flows to debt," BIS Bulletins 120, Bank for International Settlements.
    4. Francesco Filippucci & Peter Gal & Matthias Schief, 2024. "Miracle or Myth? Assessing the macroeconomic productivity gains from Artificial Intelligence," OECD Artificial Intelligence Papers 29, OECD Publishing.
    5. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2025. "Generative AI at Work," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 889-942.
    6. Francesco Filippucci & Peter Gal & Katharina Laengle & Matthias Schief & Muhammed A. Yildirim, 2026. "AI meets trade: Global linkages and the cross-country distribution of the gains from AI," OECD Artificial Intelligence Papers 57, OECD Publishing.
    7. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    8. Leonardo Gambacorta & Han Qiu & Shuo Shan & Daniel M Rees, 2024. "Generative AI and labour productivity: a field experiment on coding," BIS Working Papers 1208, Bank for International Settlements.
    9. Leonardo Gambacorta & Enisse Kharroubi & Aaron Mehrotra & Tommaso Oliviero, 2025. "Artificial intelligence and growth in advanced and emerging economies: short-run impact," BIS Working Papers 1321, Bank for International Settlements.
    10. Mauro Cazzaniga & Ms. Florence Jaumotte & Longji Li & Mr. Giovanni Melina & Augustus J Panton & Carlo Pizzinelli & Emma J Rockall & Ms. Marina Mendes Tavares, 2024. "Gen-AI: Artificial Intelligence and the Future of Work," IMF Staff Discussion Notes 2024/001, International Monetary Fund.
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