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Artificial Intelligence, Globalization, and Strategies for Economic Development

Author

Listed:
  • Anton Korinek

    (Darden School of Business, University of Virginia)

  • Joseph E. Stiglitz

    (Columbia University)

Abstract

Progress in artificial intelligence and related forms of automation technologies threatens to reverse the gains that developing countries and emerging markets have experienced from integrating into the world economy over the past half century, aggravating poverty and inequality. The new technologies have the tendency to be labor-saving, resource-saving, and to give rise to winner-takes-all dynamics that advantage developed countries. We analyze the economic forces behind these developments and describe economic policies that would mitigate the adverse effects on developing and emerging economies while leveraging the potential gains from technological advances. We also describe reforms to our global system of economic governance that would share the benefits of AI more widely with developing countries.

Suggested Citation

  • Anton Korinek & Joseph E. Stiglitz, 2021. "Artificial Intelligence, Globalization, and Strategies for Economic Development," Working Papers Series inetwp146, Institute for New Economic Thinking.
    • Handle: RePEc:thk:wpaper:inetwp146
    DOI: 10.36687/inetwp146
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    References listed on IDEAS

    as
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    Cited by:

    1. Ana L. Abeliansky & Klaus Prettner & Roman Stoellinger, 2023. "Infection Risk at Work, Automatability, and Employment," Department of Economics Working Papers wuwp352, Vienna University of Economics and Business, Department of Economics.
    2. Wang, Linhui & Cao, Zhanglu & Dong, Zhiqing, 2023. "Are artificial intelligence dividends evenly distributed between profits and wages? Evidence from the private enterprise survey data in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 342-356.
    3. Fabrizio Leone, 2022. "Multinationals, Robots, and the Labor Share," Working Papers ECARES 2022-17, ULB -- Universite Libre de Bruxelles.
    4. Leone, Fabrizio, 2021. "Foreign Ownership and Robot Adoption," CEPREMAP Working Papers (Docweb) 2111, CEPREMAP.
    5. Debesh Mishra & Kamalakanta Muduli & Rakesh Raut & Balkrishna Eknath Narkhede & Himanshu Shee & Sujoy Kumar Jana, 2023. "Challenges Facing Artificial Intelligence Adoption during COVID-19 Pandemic: An Investigation into the Agriculture and Agri-Food Supply Chain in India," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    6. Qingyang Wu, 2023. "Sustainable growth through industrial robot diffusion: Quasi‐experimental evidence from a Bartik shift‐share design," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(4), pages 1107-1133, October.
    7. Weller, Jürgen, 2022. "Tendencias mundiales, pandemia de COVID-19 y desafíos de la inclusión laboral en América Latina y el Caribe," Documentos de Proyectos 48610, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    8. Katya Klinova & Anton Korinek, 2021. "AI and Shared Prosperity," Papers 2105.08475, arXiv.org.
    9. Ilan Noy & Shakked Noy, 2022. "The Short-Termism of 'Hard' Economics," CESifo Working Paper Series 10160, CESifo.
    10. Saurabh Mishra & Robert Koopman & Giuditta De-Prato & Anand Rao & Israel Osorio-Rodarte & Julie Kim & Nikola Spatafora & Keith Strier & Andrea Zaccaria, 2021. "AI Specialization for Pathways of Economic Diversification," Papers 2103.11042, arXiv.org.
    11. Zixi Wu & Wen Zhou & Aisi Yu, 2023. "Analysis of a Legal Regulation Approach and Strategy of a Sharing Economy Based on Technological Change and Sustainable Development," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    12. Ramirez Valdebenito Carlos & Gherghina Elena Madalina, 2022. "The Pandemic Impact On The Dynamic Of Employment In Developing Countries In The Context Of Vulnerability And Inequality. The Case Of Bulgaria And Romania," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 5-14, February.
    13. Shreya Roy & Sugata Marjit & Bibek Ray Chaudhuri, 2022. "Role of Artificial Intelligence in Intra-Sectoral Wage Inequality in an Open Economy: A Finite Change Approach," CESifo Working Paper Series 9862, CESifo.
    14. Alonso, Cristian & Berg, Andrew & Kothari, Siddharth & Papageorgiou, Chris & Rehman, Sidra, 2022. "Will the AI revolution cause a great divergence?," Journal of Monetary Economics, Elsevier, vol. 127(C), pages 18-37.

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    More about this item

    Keywords

    Artificial Intelligence; inequality; technological development; redistribution.;
    All these keywords.

    JEL classification:

    • E64 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Incomes Policy; Price Policy
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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