FUNDING ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Abstract

The article examines the organizational, economic and legal aspects of the financing mechanism for artificial intelligence technologies in Ukraine and the world. The study is based on comparative and analytical methods, which allowed us to identify the strengths and weaknesses of financing models. The issue of financing artificial intelligence technologies is clearly outlined. An analysis of the main sources and strategies for financing artificial intelligence in Ukraine and the world is presented, including models from the EU, the USA and other leading countries. The role of the state and the private sector in the formation of financial flows, support for innovative projects in the field of artificial intelligence and creation of conditions for the development of high-tech startups is considered. The author defines the main goal of financing artificial intelligence technologies as creating conditions for their development and implementation, ensuring technological sovereignty, competitiveness and security of the state by developing domestic solutions, as well as promoting economic growth through innovation. The article examines the concept of a state target program in various sectors of the Ukrainian economy. A comparative analysis of the Ukrainian financing model with the experience of the US and the EU was conducted, highlighting the importance of venture investments, government grants, strategic investments, and the development of computing infrastructure. It was concluded that the effective implementation of AI financing requires an integrated approach that combines public, private, and international resources, develops human capital in the STEM and information technology sectors, and ensures the transparency and security of algorithms. Recommendations were developed to improve the national AI financing system, including the creation of long-term mechanisms to support innovation, stimulate venture investments, and develop national computing resources. The author emphasizes that the integration of the experience of leading countries allows for more effective financing of AI technologies, ensures technological sovereignty, stimulates economic growth through innovation, and at the same time reduces risks, creating new opportunities for the national economy. The practical value of the study lies in the proposed recommendations for improving national AI financing mechanisms that can be applied in policymaking and economic development programs.