Yaroslavl, Yaroslavl, Russian Federation
Yaroslavl, Yaroslavl, Russian Federation
JEL O38 Government Policy
JEL O25 Industrial Policy
JEL O32 Management of Technological Innovation and R&D
JEL L86 Information and Internet Services • Computer Software
JEL F14 Empirical Studies of Trade
The modern economy implies the introduction of modern technologies for its development. They ensure the predictive economic development and competitiveness. The introduction of unmanned aerial vehicles (UAVs) and artificial intelligence (AI) technologies into the Russian economy provides its competitiveness. Currently, many countries have realised the need to introduce UAV technologies into the economy to change its functioning in new conditions radically and increase the competitiveness of organisations. The scientific and technical integration of UAV and AI technologies has the prominent prospects for improving the efficiency of the Russian economy and ensuring its competitiveness in the global economic environment. The purpose of the research is to study the prospects and problems of introducing UAV and AI technologies into the domestic economy in terms of their implementation in the long-term technological leadership strategy. The basic research methods are the study of UAVs scientific development, foreign experience, UAVs in a special military operation (SVO), and the extrapolation of these knowledge into the Russian economy. The research reveals the prospects and problems of introducing UAV and AI technologies in all spheres of the Russian economy. Those ensure the competitiveness of domestic organisations, identify the main problems and possible solutions in the Russian economy, and transit it into a multipolar model of the world.
UAV and AI technologies in the economy; digital economy; competitiveness of the Russian economy; technological leadership; legislative framework of UAV and AI
1. Andrievsky, B. R., Popov, A. M., Mikhailov, V. A., & Popov, F. A. (2023). Application of artificial intelligence methods for UAV flight control. Aerospace Engineering and Technology, 1(2), 72-107.
2. Boyarinov, E. (2023). Artificial intelligence in unmanned aerial vehicles. Vestnik nauki, 4(5), 770-779 (in Russian). EDN: https://elibrary.ru/AZTDLM
3. Garkushev, A. Yu., & Karpova, I. L. (2023). Protection of transport terminals from threats of illegal use of unmanned aerial vehicles. Moscow: Infra-engineering (in Russian).
4. Gvozdeva, V. A. (2026). Technologies in unmanned systems. Moscow: Infra-M (in Russian).
5. Gorodnova, N. V. (2021). Application of artificial intelligence in the digital economy. Moscow: First Economic Publishing House (in Russian).
6. Kovalenko, A. V., & Kazakovtseva, E. V. (2023). Artificial intelligence in economics. Moscow: AI Art Media (in Russian).
7. Kramar, V.A., Volodin, A.N., Yevtushenko, E. V., Makogon, V. P., & Harlanov A. I. (2024). Unmanned aerial vehicles, their electromagnetic resistance and mathematical models of stabilization systems. Moscow: Direct-Media (in Russian).
8. Makarenko, S. I. (2020). Countering unmanned aerial vehicles. St. Petersburg: Naukoyemkie tehnologii (in Russian).
9. Moiseev, V. S. (2015). Fundamentals of the theory of effective use of unmanned aerial vehicles. Kazan: Redakcionno-izdatel'skij centr "Shkola" (in Russian).
10. Myrova, L. O., Korolev, P. S., Antonovich, P. I., Tsvetkov, V. E., Kostyuk, A. A., & Kirichek, R. V. (2024). Reliability of the functioning of artificial intelligence in swarm structures of small-sized UAVs. Elektrosvyaz, (4), 4-24 (in Russian).
11. Satsyuk, A. V., & Volodarets, N. V. (2026). Hybrid computer vision algorithms for precision autonomous UAV control. Moscow: INFRA-M (in Russian).
12. Tulenty, D. S., & Selivanova M.A. (2025). The influence of unmanned aerial vehicles on risk situation of insurance interests: problem statement. Finance: theory and practice, 29(4), 196-208 (in Russian).
13. Chernopyatov, A. (2024). Unmanned aircraft systems. Moscow: Direct-Media (in Russian).
14. Fattakhov, M. R., Kireev, A. V., & Klesh, V. S. (2022). The market of unmanned aircraft systems in Russia: the state and features of functioning in the macroeconomic conditions of 2022. Voprosy innovacionnoj ekonomiki, 12(4), 2507-2528 (in Russian).
15. Fedotovskikh, A. V. (2022). Features of the development and operation of civilian unmanned aircraft systems with artificial intelligence technologies in the Arctic zone of the Russian Federation. Moscow: IP Art Media (in Russian)
16. Sharov, S. N., Smirnov, V. A., & Tolmachev, S. G. (2022). Artificial intelligence methods in control systems unmanned aerial vehicles. Izvestiya Rossijskoj akademii raketnyh i artillerijskih nauk, (4), 11-18 (in Russian).




