Artificial intelligence for selecting a strategy from benchmarks

Aim. To determine the feasibility of using artificial intelligence (AI) in formulating an organization's development strategy.

Methodology. The study utilized a systems approach, graphical and verbal modeling, content analysis of secondary data, and synthesis of the obtained results. Among the schools of strategy, those that are consistent with the selection of strategies from among standard ones were identified.

Results. The study concluded that AI not only complements the intellectual potential of strategy developers but also enables the consideration of hidden connections between development factors by performing multivariate analyses.

Research implications. The theoretical value of the study lies in the development of approaches to formulating an organization's strategy based on standard models using the potential of AI. The practical value lies in the proposed recommendations for the use of AI.

1. Mintzberg, H., Ahlstrand, B. & Lampel, J. (2000). Strategy Safari: A Guided Tour Through the Wilds of Strategic Management. St. Peterburg: Piter publ. (in Russ.).

2. Jenster, P. & Hassi, D. (2003). Company Analysis. Moscow: Wiliams publ. (in Russ.).

3. Moborn, R., & Kim, C. (2016). Blue Ocean Strategy. Moscow: Mann, Ivanov i Ferber publ. (in Russ.).

4. Anwar, J., Butt, I. & Ahmad, N. (2025). SMEs’ Strategic Orientation Through Miles and Snow Typology: A Synthesis of Literature and Future Directions. In: Management Research Review, 48, 2, 258–286. DOI: 10.1108/MRR-12-2023-0914.

5. Kokkoz, M. M., Klyueva, E. G., Bashlykov, R. V., & Makabaev, M. K. (2025). Artificial Intelligence in Higher Education: Modern Methods and Research Prospects for Optimizing the Learning Process. In: University Proceedings, 2 (99), 356–363 (in Russ.).

6. Miroshnichenko, M. A. & Dementieva, A.V. (2025). The Use of Artificial Intelligence and Data Analytics in the Development and Implementation of Strategy. In: Society and the Economy of Knowledge: Capital Management in the Digital Economy. KSEM-2025: Proceedings of the XV International Scientific and Practical Conference. Krasnodar: Kuban State University publ., 276–287 (in Russ.)..

7. Afonasenko, D. S. (2024). Artificial Intelligence in the Development of Business Strategies: How to Predict Market Behavior. In: Bulletin of the Faculty of Social Technologies and Data Economics: Collection of Scientific and Theoretical Articles of the XVIth International Baltic Communication Forum. St. Petersburg: St. Petersburg State University of Telecommunications named after prof. M. A. Bonch-Bruevich publ., 518–522 (in Russ.).

8. Mitrofanov, G. A. & Vladimirov, O. N. (2025). Evolution of Project Management: From Classical Methods to Artificial Intelligence. In: International Research Journal, 6 (156). Available at: https://www.elibrary.ru/download/elibrary_82544229_78075082.pdf (accessed: 10.12.2025) (in Russ.).

9. Lebedeva, E. O. (2025). The Role of Artificial Intelligence in Automating Decision–Making Processes in Project Management. In: Entrepreneur’s Guide, 18, 1, 65–72 (in Russ.).

10. Shteyngart, M. E., & Karaseva, T. S. (2025). Analysis of the Artificial Intelligence Methods Integration in Creative Industries. In: Scientific and Technical Volga region Bulletin, 6, 156–158 (in Russ.).

11. Ostrikov, A. V. (2025). The Role of Integration of Artificial Intelligence and Big Data in Optimizing Business Processes to form a Sustainable Competitive Strategy of the Enterprise. In: Economics: Yesterday, Today and Tomorrow, 15, 2А, 632–645 (in Russ.).

12. Shilnikov, O. I. (2025). Methods of Evaluating the Effectiveness of Artificial Intelligence Technologies in Teaching Economics: Analysis and Prospects. In: Vector of Scientific Thought, 2 (19), 122–123 (in Russ.).

13. Avezov, F. Sh. (2025). Artificial Intelligence as a Tool for Business Development, Rather Than Replacing Humans: Challenges and Adaptation Strategies. In: Bulletin of Bokhtar State University named after Nosir Khusrav. Series of Humanities and Economics, 1–1 (131), 471–476 (in Russ.).

14. Ototsky, P. L., Gorlacheva, E. N. & Pospelova, E. A. (2024). The Impact of Generative Artificial Intelligence on Industry Productivity in the Context of the Russian Economy. In: Bulletin of Federal State University of Education. Series: Economics, 4, 80–93. DOI: 10.18384/2949-5024-2024-4-80-93 (in Russ.).

15. Surkov, V. V. (2025). Methods of using artificial intelligence technologies in the human resource management system of an organization. In: Journal of Monetary Economics and Management, 1, 175–182 (in Russ.).