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Implications of AI on the Indian Economy

Author

Listed:
  • Rajat Kathuria

    (Indian Council for Research on International Economic Relations (ICRIER))

  • Mansi Kedia

    (Indian Council for Research on International Economic Relations (ICRIER))

  • Sashank Kapilavai

    (Indian Council for Research on International Economic Relations (ICRIER))

Abstract

This report has undertaken a comprehensive study of AI’s potential and implication for India, and estimates that impact of AI on the economy in rather granular details. The results of the econometric study done at the firm level highlight the need for continued focus on building digital capabilities to fully utilise the power of AI / ML, both from efficiency and increase in capability perspective. Early and sustained investment in AI / ML, in both R&D and applications, is much required.

Suggested Citation

  • Rajat Kathuria & Mansi Kedia & Sashank Kapilavai, 2020. "Implications of AI on the Indian Economy," Indian Council for Research on International Economic Relations (ICRIER) Report 20-r-03, Indian Council for Research on International Economic Relations (ICRIER), New Delhi, India.
    • Handle: RePEc:bdc:report:20-r-03
    as

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    References listed on IDEAS

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    1. Peretto, Pietro F. & Seater, John J., 2013. "Factor-eliminating technical change," Journal of Monetary Economics, Elsevier, vol. 60(4), pages 459-473.
    2. Jovanovic, Boyan & Rousseau, Peter L., 2005. "General Purpose Technologies," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 18, pages 1181-1224, Elsevier.
    3. Helpman, Elhanan & Trajtenberg, Manuel, 1994. "A Time to Sow and a Time to Reap: Growth Based on General Purpose Technologies," CEPR Discussion Papers 1080, C.E.P.R. Discussion Papers.
    4. Lipsey, Richard G. & Carlaw, Kenneth I. & Bekar, Clifford T., 2005. "Economic Transformations: General Purpose Technologies and Long-Term Economic Growth," OUP Catalogue, Oxford University Press, number 9780199290895.
    5. William D. Nordhaus, 2021. "Are We Approaching an Economic Singularity? Information Technology and the Future of Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 299-332, January.
    6. J. Klinger & J. Mateos-Garcia & K. Stathoulopoulos, 2018. "Deep learning, deep change? Mapping the development of the Artificial Intelligence General Purpose Technology," Papers 1808.06355, arXiv.org.
    7. Mongia, Puran & Schumacher, Katja & Sathaye, Jayant, 2001. "Policy reforms and productivity growth in India's energy intensive industries," Energy Policy, Elsevier, vol. 29(9), pages 715-724, July.
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    Keywords

    AI; Machine Learning; GPT; icrier;
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