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| Open Access | THE IMPACT OF ARTIFICIAL INTELLIGENCE ON ECONOMIC GROWTH: THEORETICAL MODELS AND NEW TRENDS
Bekzod Iskandarov Abdijalilovich , Samarkand Institute of Economics and Service Senior Lecturer in Economic Theory Ibragimov Behruz Sirojiddin ugli , Samarkand Institute of Economics and Service StudentAbstract
This article examines the impact of artificial intelligence on economic growth through the lens of theoretical economic models and emerging development trends. The study analyzes the role of artificial intelligence within the framework of endogenous growth theory, technological progress models, and the digital economy paradigm. Particular attention is paid to how artificial intelligence contributes to productivity growth, production efficiency, and innovation dynamics, thereby influencing long-term economic growth rates. The article also provides a theoretical assessment of the effects of AI-driven automation on labor markets, human capital formation, and capital structure. The findings suggest that the widespread adoption of artificial intelligence has the potential to initiate a new qualitative stage of economic growth; however, it simultaneously raises challenges related to institutional adaptation, workforce reskilling, and inequality.
Keywords
artificial intelligence, economic growth, theoretical models, endogenous growth, digital economy, innovation, productivity, future trends
References
Romer, P. M. (1990). Endogenous Technological Change. Journal of Political Economy, 98(5), S71–S102.
Aghion, P., Jones, B., Jones, C. (2017). Artificial Intelligence and Economic Growth. NBER Working Paper.
Acemoglu, D., Restrepo, P. (2020). The Wrong Kind of AI? Artificial Intelligence and the Future of Labour Demand. Journal of Economic Perspectives, 34(3), 3–32.
Brynjolfsson, E., McAfee, A. (2014). The Second Machine Age. New York: W. W. Norton Company.
Stiglitz, J. E. (2019). People, Power, and Profits. New York: W. W. Norton Company.
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