THE IMPACT OF AI TECHNOLOGIES ON THE DEVELOPMENT OF RUSSIAN AGRICULTURE: TRENDS AND FORECAST TO 2035

Relevance of the study. In the context of digital transformation and global changes in the agricultural sector, artificial intelligence (AI) is becoming a key tool for increasing the competitiveness of agricultural products. The introduction of AI in the Russian agro-industrial complex helps to optimize resource management, reduce costs, increase yields and improve product quality. However, despite significant potential, the digitalization process faces a number of barriers, including the high cost of technology, a shortage of specialists and insufficient infrastructure. This study is aimed at analyzing the impact of AI on Russian agriculture and developing a forecast for its development until 2035. Purpose of the study. To analyze the current state of AI implementation in Russian agricultural production, assess its impact on the competitiveness of agricultural products and develop a forecast for the development of AI technologies in the agro-industrial sector until 2035. Data and methods. The study used data from Rosstat, the Ministry of Agriculture of the Russian Federation, international organizations (FAO, World Bank) and analytical centers. The methods of statistical and comparative analysis, scenario forecasting and econometric modeling are applied. To assess the prospects for the introduction of AI in agriculture, the extrapolation method based on the second-order polynomial regression is used, taking into account technological trends and state policy in the field of digitalization. Results. The forecast until 2035 shows that the share of agricultural enterprises using AI will reach 70%, which will lead to an increase in yields by 35%, a decrease in costs by 25% and a reduction in the consumption of water and fertilizers by 20%. The introduction of AI in supply chain management will minimize logistics costs, increase export potential and compliance with international quality standards. However, the digitalization process requires significant investment, infrastructure development and personnel training. Conclusions. The integration of AI in agriculture is a strategically important direction for the development of the agro-industrial complex of Russia. The introduction of AI will not only increase productivity and reduce costs, but also strengthen the position of domestic agricultural products in the world market. Further growth of digitalization is possible subject to active government support, investments in technological solutions and training of specialists in the field of agro-digital technologies.