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The unmanned aerial vehicle technologies and artificial intelligence as the most important factors in ensuring the Russian economy competitiveness and implementing a strategy of technological leadership

Author

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  • Kiselev, Aleksandr
  • Kolesov, Roman

Abstract

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.

Suggested Citation

  • Kiselev, Aleksandr & Kolesov, Roman, . "The unmanned aerial vehicle technologies and artificial intelligence as the most important factors in ensuring the Russian economy competitiveness and implementing a strategy of technological leadership," Journal of regional and international competitiveness, Yaroslavl State Technical University, vol. 7(1), pages 93-102.
  • Handle: RePEc:bdv:sjraic:2026-1-6494-8
    DOI: 10.52957/2782-1927-2026-7-1-93-102
    Note: Article ID: 277272
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