Artificial intelligence as a driver of economic growth in uzbekistan: opportunities and challenges
DOI:
https://doi.org/10.5281/zenodo.19421024Abstract
Artificial Intelligence has become one of the main drivers of digital transformation and economic growth in the modern economy. The rapid development of advanced technologies such as machine learning, big data analytics, and automation has created new opportunities to improve productivity, efficiency, and innovation capacity across various sectors. The purpose of this study is to analyze the role of artificial intelligence as a driver of economic growth in Uzbekistan and to identify the main opportunities and challenges associated with its implementation. This research applies a quantitative methodology using secondary data obtained from international and national statistical sources related to digital transformation, innovation activity, human capital development, and investment in information and communication technologies.
References
Acemoglu, D., Restrepo, P. Artificial intelligence, automation, and work // Journal of Economic Perspectives. – 2020. – Vol. 34, No. 1. – P. 3–30.
Aghion, P., Howitt, P. The Economics of Growth. – Cambridge: MIT Press, 2009. – 512 p.
Brynjolfsson, E., McAfee, A. Machine, Platform, Crowd: Harnessing Our Digital Future. – New York: W.W. Norton & Company, 2017. – 416 p.
Cockburn, I.M., Henderson, R., Stern, S. The impact of artificial intelligence on innovation // NBER Working Paper. – 2018. – No. 24449.
European Commission. White Paper on Artificial Intelligence: A European Approach to Excellence and Trust. – Brussels, 2020. – 27 p.
International Monetary Fund. Digitalization and Productivity Growth // IMF Working Paper. – Washington, D.C., 2021.
Lee, K.F. AI Superpowers: China, Silicon Valley, and the New World Order. – Boston: Houghton Mifflin Harcourt, 2018. – 272 p.
McKinsey Global Institute. The Economic Potential of Generative AI: The Next Productivity Frontier. – New York: McKinsey & Company, 2023.
OECD. Artificial Intelligence in Society. – Paris: OECD Publishing, 2021. – 222 p.
OECD. OECD Digital Economy Outlook 2023. – Paris: OECD Publishing, 2023. – 348 p.
Porter, M.E., Heppelmann, J.E. How smart, connected products are transforming competition // Harvard Business Review. – 2015. – Vol. 93, No. 10. – P. 96–114.
Solow, R.M. A contribution to the theory of economic growth // Quarterly Journal of Economics. – 1956. – Vol. 70, No. 1. – P. 65–94.
United Nations. Digital Economy Report 2022. – New York: UN Publications, 2022.
World Bank. World Development Report 2022: Finance for an Equitable Recovery. – Washington, D.C.: World Bank Publications, 2022.
World Economic Forum. Future of Jobs Report 2023. – Geneva: WEF Publications, 2023.
Zhang, D., Chen, Y. Artificial intelligence and economic growth: Theory and evidence // Economic Modelling. – 2019. – Vol. 81. – P. 507–517.
Agrawal, A., Gans, J., Goldfarb, A. Prediction Machines: The Simple Economics of Artificial Intelligence. – Boston: Harvard Business Review Press, 2019. – 288 p.
Autor, D. Why are there still so many jobs? The history and future of workplace automation // Journal of Economic Perspectives. – 2015. – Vol. 29, No. 3. – P. 3–30.
Brynjolfsson, E., Rock, D., Syverson, C. Artificial intelligence and the modern productivity paradox // NBER Working Paper. – 2019. – No. 24001.
Korinek, A., Stiglitz, J. Artificial intelligence and its implications for income distribution and unemployment // NBER Working Paper. – 2021. – No. 24174.
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