PROSPECTS AND BARRIERS OF THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN FOREIGN ECONOMIC ACTIVITIES OF THE RUSSIAN FEDERATION

The article presents research results dedicated to analyzing the prospects and barriers of implementing artificial intelligence (AI) technologies in the sphere of foreign economic activity (FEA) of the Russian Federation. The aim of the work is to identify key opportunities for applying AI at various stages of FEA (market analysis, supply organization, customs clearance) and to develop proposals for the digital transformation of this sphere. The research methodology is based on the analysis of theoretical frameworks, typical AI use cases (machine learning, natural language processing, computer vision, robotic process automation), and an assessment of their current level of practical implementation within the Russian context, including an analysis of specific projects (KPS "Kaskad", "Kontur.Deklarant" service, the intelligent checkpoint model). The study's results revealed significant unrealized potential of AI for optimizing FEA, including demand forecasting, automation of customs procedures, risk management, image recognition, and document analysis. However, it was established that the current level of AI integration varies from low (market analysis) to medium (supply organization, customs clearance). The main barriers identified are the insufficient technological base of enterprises and customs authorities, a shortage of qualified personnel, and the conceptual substitution of intellectualization (using AI) with mere automation. Based on the conducted analysis, the author proposes specific development drivers: the development of AI tools for market analysis and risk management, modernization of checkpoint infrastructure using robotics and IoT, and the creation of a complementary intelligent checkpoint model. The conclusion emphasizes the necessity of a practice-oriented approach to AI implementation, taking into account the existing technological foundation, to enhance the efficiency and competitiveness of Russian FEA.