Pyankova S.G., Mitrofanova I.V., Ergunova O.T. Improvement of Artificial Intelligence Ecosystems in BRICS Countries

Svetlana  G.  Pyankova
Ural State University of Economics, Yekaterinburg, Russian Federation
Inna  V.  Mitrofanova
Federal Research Centre the Southern Scientific Centre of the Russian Academy of Sciences, Rostov-on-Don, Russian Federation; 
Volgograd State University, Volgograd, Russian Federation
Olga  T.  Ergunova
Higher School of Industrial Management of the Peter the Great Saint Petersburg Polytechnic University, Saint Petersburg, Russian Federation

Abstract. The study analyzes the key stages of the development and use of artificial intelligence (AI) in the BRICS countries since the 1950s. The main factors influencing the successful introduction of AI, such as government support, infrastructure development, level of education, and international cooperation, are analyzed. Particular attention is paid to a comparative analysis of the BRICS countries by the level of integration of AI into the economy and society, as well as forecasts for the future. The results show that China is the leader among the BRICS countries, while India and Russia are also demonstrating significant progress. Brazil and South Africa are in the initial stages of AI implementation, which requires additional efforts. The aim of the study is to analyze the development and use of artificial intelligence in the BRICS countries over the past decades in order to identify the key factors influencing this process, as well as to assess the current state and to forecast the future. The object of the study is the process of the use of artificial intelligence in the economic and social structures of the BRICS countries, including its impact on various sectors of the economy. The subject of the study is the influence of various factors (government policy, infrastructure, education, and economic and social conditions) on the level and rate of AI use in the BRICS countries. The main conclusion of the study is that China leads the BRICS countries in terms of AI use, due to significant investments in R&D, a large number of STEM graduates, and an active startup ecosystem. India and Russia occupy second and third places, respectively, demonstrating high results in a number of indicators, but lag behind China. Brazil and South Africa demonstrate more moderate success in this area, facing a number of economic and infrastructural constraints. For the successful development of AI in the BRICS countries, a comprehensive approach is needed, including government support, development of educational programs, stimulation of innovation, and the creation of a favorable legal and infrastructural environment. International cooperation, which allows for the exchange of best practices and technologies, also plays an important role. The study emphasizes the importance of the interaction of economic, technological, and social factors for the successful integration of AI into the economy and society. The results of the work can be used in the development of strategies and policies aimed at the acceleration of AI introduction and the competitiveness growth of BRICS countries on the global stage.
Key words: artificial intelligence (AI), BRICS countries, innovation, technological order, digital technologies, neural networks.
Citation. Pyankova S.G., Mitrofanova I.V., Ergunova O.T., 2025. Improvement of Artificial Intelligence Ecosystems in BRICS Countries. Regionalnaya ekonomika. Yug Rossii [Regional Economy. South of Russia], vol. 13, no. 1, pp. 4-16. (in Russian). DOI: https://doi.org/10.15688/re.volsu.2025.1.1

Attachments: /upload/medialibrary/f74/ffaxo01vwg2b6mlhs7wdle4yqa0go98j.pdf