APPLICATION OF OPEN-SOURCE ARTIFICIAL INTELLIGENCE TECHNOLOGIES AND THEIR ECONOMIC EFFICIENCY

Abstract

The rapid development of artificial intelligence has transformed the structure of the digital economy, corporate management, public services, education, finance, logistics and industrial production. In this context, open-source artificial intelligence technologies are becoming an important factor in reducing technological dependence, lowering implementation costs, expanding innovation capacity and increasing the economic efficiency of organizations. The purpose of this article is to analyze the application areas of open-source AI technologies and assess their economic efficiency from the perspectives of cost optimization, productivity growth, innovation acceleration and technological sovereignty. The study uses comparative analysis, systematization, cost-benefit logic and conceptual modeling. The results show that open-source AI creates economic value through five major mechanisms: reduction of licensing costs, acceleration of software development, customization of AI models for local business needs, localization of digital solutions and expansion of knowledge-sharing ecosystems. At the same time, the effectiveness of open-source AI depends on data quality, cybersecurity, human capital, governance mechanisms and the ability of organizations to integrate AI into real business processes. The article concludes that open-source AI should not be viewed only as a cheap alternative to proprietary systems, but as a strategic technological platform for sustainable digital transformation and inclusive economic development.