FACTORS FOR INCREASING THE ECONOMIC EFFICIENCY OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE DIGITAL ECONOMY
- Authors
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Asraev Umar Muminovich
Associate Professor, Department of "Digital Economy" Tashkent State University of Economics
Author
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- Keywords:
- Artificial intelligence, digital economy, economic efficiency, digital transformation, productivity, innovation, automation, data-driven management.
- Abstract
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This article examines the key factors that increase the economic efficiency of artificial intelligence technologies in the digital economy. In contemporary economic systems, artificial intelligence is becoming one of the most influential drivers of productivity growth, cost reduction, managerial optimization, and innovation acceleration. The study argues that the economic efficiency of artificial intelligence depends not only on the level of technological sophistication, but also on the quality of digital infrastructure, availability of skilled human capital, institutional support, data management systems, cybersecurity, investment capacity, and the adaptability of business models. Special attention is given to the role of automation, predictive analytics, intelligent decision-making, and platform-based management in improving resource allocation and organizational performance. The article also highlights that enterprises and public institutions can achieve higher economic returns from artificial intelligence when implementation is accompanied by strategic planning, workforce training, ethical regulation, and continuous monitoring of performance indicators. The analysis demonstrates that artificial intelligence contributes to labor productivity, service quality, market responsiveness, and competitiveness across finance, industry, trade, logistics, and education. At the same time, uneven digital readiness, lack of qualified specialists, high implementation costs, and regulatory uncertainty remain major barriers to effective deployment. The article concludes that increasing the economic efficiency of artificial intelligence technologies requires an integrated approach combining technological modernization, institutional reform, investment in digital competencies, and the creation of an innovation-friendly ecosystem. In the context of the digital economy, artificial intelligence should therefore be understood not merely as a technical tool, but as a strategic economic resource capable of transforming production systems, management mechanisms, and long-term development trajectories.
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- Published
- 2026-03-31
- Issue
- Vol. 2 No. 3 (2026)
- Section
- Articles
- License
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This work is licensed under a Creative Commons Attribution 4.0 International License.








