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Judicious Use of AI Can Help Viet Nam Become a High-income Country

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  • Dang, Hai-Anh H.

Abstract

Viet Nam's goal for high-income status by 2045 requires roughly 5.5% annual growth in income per capita, versus 5% historically. We offer thoughts on whether artificial intelligence (AI) can supply the missing margin. Reviewing the growing AI literature, we find that appropriate policies are instrumental. Viet Nam has several advantages, including scoring a high score above what its income predicts on government AI readiness and its AI diffusion rate is rising faster than in any other low-income or middle-income economy. Borrowing results from existing cross-country evidence on digital adoption, we construct three tentative growth scenarios on AI adoption. Broad and deep adoption could help the country reach its goal earlier than the baseline without any adoption. Realizing that dividend depends on four priorities: teachers first, electricity and Vietnamese-language data, an open-source latecomer strategy reaching millions of small firms, and institutions that pay for talent. These findings can be relevant to other developing countries.

Suggested Citation

  • Dang, Hai-Anh H., 2026. "Judicious Use of AI Can Help Viet Nam Become a High-income Country," GLO Discussion Paper Series 1811, Global Labor Organization (GLO).
    • Handle: RePEc:zbw:glodps:1811
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    1. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2021. "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 333-372, January.
    2. Daron Acemoglu, 2025. "The simple macroeconomics of AI," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 40(121), pages 13-58.
    3. David Autor, 2024. "Applying AI to Rebuild Middle Class Jobs," NBER Working Papers 32140, National Bureau of Economic Research, Inc.
    4. Nicolas Crouzet & Apoorv Gupta & Filippo Mezzanotti, 2023. "Shocks and Technology Adoption: Evidence from Electronic Payment Systems," Journal of Political Economy, University of Chicago Press, vol. 131(11), pages 3003-3065.
    5. Edquist, Harald & Goodridge, Peter & Haskel, Jonathan & Li, Xuan & Lindquist, Edward, 2018. "How important are mobile broadband networks for the global economic development?," Information Economics and Policy, Elsevier, vol. 45(C), pages 16-29.
    6. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    7. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    8. Nina Czernich & Oliver Falck & Tobias Kretschmer & Ludger Woessmann, 2011. "Broadband Infrastructure and Economic Growth," Economic Journal, Royal Economic Society, vol. 121(552), pages 505-532, May.
    9. Alexander Bick & Adam Blandin & David J. Deming, 2026. "The Rapid Adoption of Generative AI," Management Science, INFORMS, vol. 72(10), pages 8440-8456, October.
    10. Diego Comin & Martí Mestieri, 2018. "If Technology Has Arrived Everywhere, Why Has Income Diverged?," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(3), pages 137-178, July.
    11. T. D. Stanley & Hristos Doucouliagos & Piers Steel, 2018. "Does Ict Generate Economic Growth? A Meta†Regression Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 705-726, July.
    12. Jonas Hjort & Jonas Poulsen, 2019. "The Arrival of Fast Internet and Employment in Africa," American Economic Review, American Economic Association, vol. 109(3), pages 1032-1079, March.
    13. Fabrizio Dell’Acqua & Edward McFowland & Ethan Mollick & Hila Lifshitz & Katherine C. Kellogg & Saran Rajendran & Lisa Krayer & François Candelon & Karim R. Lakhani, 2026. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality," Organization Science, INFORMS, vol. 37(2), pages 403-423, March.
    14. Bahia, Kalvin & Castells, Pau & Cruz, Genaro & Masaki, Takaaki & Pedrós, Xavier & Pfutze, Tobias & Rodríguez-Castelán, Carlos & Winkler, Hernán, 2024. "The welfare effects of mobile broadband internet: Evidence from Nigeria," Journal of Development Economics, Elsevier, vol. 170(C).
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    JEL classification:

    • H00 - Public Economics - - General - - - General
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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