ECONOMIC RESULTS OF USING ARTIFICIAL INTELLIGENCE IN INDUSTRIAL PRODUCTION
DOI:
https://doi.org/10.55640/Keywords:
artificial intelligence, industrial production, economic efficiency, digital transformation, profitability, labor productivity.Abstract
This article analyzes the economic results of using artificial intelligence technologies in industrial production. The study examines the impact of artificial intelligence technologies on production efficiency, product cost, labor productivity, profitability level, and the efficiency of resource utilization. In addition, it is demonstrated that automated systems based on artificial intelligence create opportunities to optimize production processes, detect technical failures in advance, and ensure the continuity of the production process. The research methodology was based on a systematic approach, statistical analysis, comparison, and scientific generalization methods. The obtained results show that the introduction of artificial intelligence technologies into production contributes to reducing production costs, increasing labor productivity, and improving the financial performance of enterprises. It was also determined that the economic efficiency of artificial intelligence technologies depends on the volume of investment, the development of technological infrastructure, and the level of human capital. The research results justify the necessity of deepening digital transformation in the industrial sector and widely introducing innovative technologies.
Downloads
References
1.Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. New York: W.W. Norton & Company.
2.Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. Pearson Education.
3.Schwab, K. (2016). The Fourth Industrial Revolution. Geneva: World Economic Forum.
4.Manyika, J., et al. (2017). Artificial Intelligence: The Next Digital Frontier? McKinsey Global Institute Report.
5.OECD (2019). Artificial Intelligence in Society. Paris: OECD Publishing.
6.Acemoglu, D., & Restrepo, P. (2020). Artificial Intelligence, Automation and Work. Journal of Economic Perspectives, 34(1), 3–30.
7.World Economic Forum (2023). Future of Jobs Report. Geneva.
8.O‘zbekiston Respublikasi Prezidenti qarori. (2020). “Sun’iy intellekt texnologiyalarini rivojlantirish strategiyasi”.
9.Porter, M., & Heppelmann, J. (2015). How Smart, Connected Products Are Transforming Competition. Harvard Business Review.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

Germany
United States of America
Italy
United Kingdom
France
Canada
Uzbekistan
Japan
Republic of Korea
Australia
Spain
Switzerland
Sweden
Netherlands
China
India