Artificial Intelligence in Economic Policy of Post-Soviet Countries: Opportunities and Limitations

The article provides a comprehensive analysis of the potential and limitations of applying artificial intelligence (AI) technologies in the economic policy of post-Soviet countries from 2019 to 2025. The author examines AI as a strategic tool for macroeconomic regulation capable of optimizing fiscal administration, forecasting and risk management. The study examines the transition of post-Soviet economies from fragmented digitalization to systemic strategic planning enshrined in national AI development concepts and strategies. Particular attention is paid to practical cases of technology implementation in the public sector and finance, as well as the impact of AI on increasing tax collection and business processes’ transformation.The study identified significant barriers hindering the realization of the region’s technological potential: a shortage of skilled personnel, an infrastructure gap between the centers and the periphery, and technological dependence on imported components and equipment. It is proved that the introduction of AI leads to employment polarization and the risk of increasing structural unemployment in sectors with a predominance of routine labor. The author concludes that a comprehensive approach is needed, combining investments in sovereign data infrastructure with human capital development and improved regulatory frameworks. The study’s findings can be used to complement and refine national digital development policies and minimize the social risks of automation.

1. Acemoglu D. & Restrepo P. Artificial Intelligence, Automation and Work. NBER Working Papers 24196. National Bureau of Economic Research, Inc. 2018.

2. Brodskaya N.P. Artificial Intelligence Technologies in the CIS Countries: Problems and Prospects. Russia and the New States of Eurasia. 2025;III (LXVIII):138-150. doi: https://doi.org/10.20542/2073-4786-2025-3-138-150 (In Russ.).

3. Veduta E.N., Geghamyan L.A. Artificial Intelligence in Ensuring Sustainable Economic Development. Public Administration. Electronic Bulletin. 2025;110:179-194. doi: https://doi.org/10.55959/MSU2070-1381-110-2025-179-194

4. Vyhodets R.S. Policy of the EAEU countries in the field of artificial intelligence. Eurasian integration: economics, law, politics. 2022;16(3): 106-117. doi: https://doi.org/10.22394/2073-2929-2022-03-106-117 (In Russ.).

5. Gorodnova N.V. Application of Artificial Intelligence in the Digital Economy. First Economic Publishing House. 2021. 154 p. doi: https://doi.org/10.18334/9785912923777 (In Russ.).

6. Leksin V.N. Artificial Intelligence in the Economics and Politics of Our Time. Article 1. Artificial Intelligence as a New Economic and Political Reality. Russian Economic Journal. 2020;4:3-30. https://doi.org/10.33983/0130-9757-2020-5-3-33 (In Russ.).

7. Masalov E.I., Starykh S.A. Artificial Intelligence as a Basis for the Formation of a New Economic Structure of Countries. Management accounting. 2025;6:206-212. DOI: 10.25806/uu-5292 (In Russ.).

8. North D.C. Institutions, Institutional Change and Economic Performance. Cambridge: Cambridge University Press (Political Economy of Institutions and Decisions). 1990. doi: https://doi.org/10.1017/CBO9780511808678

9. Romer P.M. Endogenous technological change. Journal of political Economy. 98(5, Part 2). doi: https://doi.org/10.1086/261725

10. Trabelsi M.A. The Impact of Artificial Intelligence on Economic Development. Journal of Electronic Business & Digital Economics. 2024;3(2):142-155, doi: https://doi.org/10.1108/JEBDE-10-2023-0022