Moscow, Moscow, Russian Federation
This strategic analysis of global and national digital transformation trends highlights some new opportunities for Russia’s regions. Professor V. L. Kvint’s theory of strategy and methodology of strategizing provided a deeper understanding of the key factors behind the digital transformation of regional economies. The current global trends involve the development of artificial intelligence (AI) and digital infrastructure. The national trends lie in the ICT sphere, human resources, and digital literacy, as well as in the growing interregional digital gap and costs. The OTSW analysis of global and national trends revealed some major long-term strategic opportunities for regional economies, e.g., conquering international technology markets, developing digital sovereignty and infrastructure for data security purposes, accelerating digitalization processes in the regions, improving people’s digital skills, etc. On the one hand, low national and regional aspirations in the AI sphere may increase the risk of falling behind the global trends and losing competitive advantages. On the other hand, a larger and faster AI implementation would require new strategic documents to standardize the digital transformation at the national level.
digital transformation, artificial intelligence, AI, digital inequality, strategizing, OTSW analysis, strategic opportunities, Russia’s regions
1. Varlamova JA, Korneychenko EN. Artificial intelligence in the Russian regions. Russian Journal of Economics and Law. 2024;18(3):641–662. (In Russ.) https://doi.org/10.21202/2782-2923.2024.3.641-662
2. Vlasyuk LI. Digital inequality of the Russian regions: Strategic opportunities and threats. Russian Journal of Industrial Economics. 2023;16(1):59–68. (In Russ.) https://doi.org/10.17073/2072-1633-2023-1-59-68
3. Vlasyuk LI, Novikov AP. Strategic oportunities for the transition to digital technologies in Russian regions. Administrative Consulting. 2024;(3):106–117. (In Russ.) https://doi.org/10.22394/1726-1139-2024-3-106-117
4. Yelin KM, Usova NV, Loginov MP. The role of artificial intelligence technologies in shaping the digital model of the national economy. AlterEconomics. 2024;21(4):723–747. (In Russ.) https://doi.org/10.31063/AlterEconomics/2024.21-4.5
5. Ershova TV, Hohlov YuE. Digital economy: From theoretical concepts to the Russian practice. Journal of the New Economic Association. 2025;(2):234–243. (In Russ.) https://doi.org/10.31737/22212264_2025_2_234-243
6. Zhuravlev DM. Strategizing of digital transformation of complex socio-economic systems. Ed. VL Kvint. St. Petersburg: IPC SZIU RANEPA; 2024. 352 p. (In Russ.) https://doi.org/10.55959/978-5-89781-862-4
7. Zemtsov SP. Digital divide and regional development in Russia in the context of artificial intelligence diffusion. Journal of the New Economic Association. 2025;(2):225–233. (In Russ.) https://doi.org/10.31737/22212264_2025_2_225-233
8. Abashkin V, Abdrakhmanova G, Vishnevskiy K, Gokhberg L, et al. Digital economy indicators in the Russian Federation: 2025. Moscow: HSE ISSEK; 2025. 296 p.
9. Kvint VL. The concept of strategizing. Kemerovo: Kemerovo State University; 2022. 170 p. (In Russ.) https://doi.org/10.21603/978-5-8353-2562-7
10. Kvint VL. The concept of strategizing. Vol. 1. St. Petersburg: NWIM RANEPA; 2019. 132 p. (In Russ.)
11. Kvint VL. The concept of strategizing. Vol. 2. St. Petersburg: NWIM RANEPA; 2020. 164 p. (In Russ.)
12. Kvint VL. The Global emerging market: Strategic management and economics. Moscow: Biznes atlas; 2012. 627 p. (In Russ.)
13. Kvint VL. Upravlenie nauchno-texnicheskim progressom: regionalnyj aspekt: (voprosy metodologii i praktiki) [Management of scientific and technological progress: Regional aspect: (Methodological and practical issues)]. Moscow: Nauka; 1986, 216 p. (In Russ.)
14. Kravchenko LA, Fursova EA. Some global trends of the transport industry transformation in the digital economy: The world experience. Journal of Economic Studies. 2020;6(3):47–56. https://elibrary.ru/SSMASQ
15. Naumov IV, Dubrovskaya JV, Kozonogova EV. Digitalisation of industrial production in the Russian regions: Spatial relationships. Economy of Regions. 2020;16(3):896–910. (In Russ.) https://doi.org/10.17059/ekon.reg.2020-3-17
16. Novikova IV. The concept of employment strategy for the digital economy. Kemerovo: Kemerovo State University; 2020, 254 p. (In Russ.) https://doi.org/10.21603/978-5-8353-2609-9
17. Regions of Russia. Socio-economic indicators. 2024. Moscow: Rosstat; 2024. 1081 p.
18. Kvint VL, Novikova IV, Alimuradov MK, Sasaev NI. Strategizing the national economy during a period of burgeoning technological sovereignty. Administrative Consulting. 2022;(9):57–67. (In Russ.) https://doi.org/10.22394/1726-1139-2022-9-57-67
19. Untura GA. The knowledge economy and digitalization: Assessing their impact on economic growth of Russian regions. Region: Ekonomika I Sotsiologiya. 2022;(4):31–58. (In Russ.) https://doi.org/10.15372/REG20220402
20. Fedyunina AA, Simachev YuV. Technological sovereignty and the development of Russian digital economy: Digital goods imports under sanctions. Journal of the New Economic Association. 2025;(2):244–254. (In Russ.) https://doi.org/10.31737/22212264_2025_2_244-254
21. Frolov IE, Kiselev VN. Artificial intelligence as a driver of breakthrough technologies: Global trends and lessons for Russia. Studies on Russian Economic Development. 2025;36(3):378–387. https://doi.org/10.1134/S1075700725700108
22. Acemoglu D, Restrepo P. The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review. 2018;108(6):1488–1542. https://doi.org/10.1257/aer.20160696
23. Antonietti R, Burlina C, Rodríguez-Pose A. Digital technology and regional income inequality: Are better institutions the solution? Papers in Regional Science. 2025;104(2):100079. https://doi.org/10.1016/j.pirs.2025.100079
24. Feng Y, Dai J, Zhang L. Digital infrastructure and income disparities: A quasi-natural experiment based on the "Broadband China" strategy. International Review of Economics and Finance. 2025;102:104350. https://doi.org/10.1016/j.iref.2025.104350
25. Gonzales JT. Implications of AI innovation on economic growth: A panel data study. Journal of Economic Structures. 2023;12:13. https://doi.org/10.1186/s40008-023-00307-w
26. Roberts H, Cowls J, Morley J, Taddeo M, et al. The Chinese approach to artificial intelligence: An analysis of policy, ethics, and regulation. AI & Society. 2021;36:59–77. https://doi.org/10.1007/s00146-020-00992-2
