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About the International Scientific and Practical Conference “Asset Management — 2025: Artificial Intelligence in Economic Decision-Making: Assets, Actors, Strategies”

https://doi.org/10.26794/2304-022X-2026-16-1-159-168

Abstract

The article provides an overview of academic events and professional discussions held within the framework of the annual international scientific and practical conference “Asset Management”, which took place in December 2025 at MGIMO University (Russia). The relevance of the conference topic — “Artificial intelligence in economic decision–making: assets, actors, strategies” — is due to the modern exponential growth in the introduction of artificial intelligence (AI) technologies in all areas of the economy, corporate governance and public administration, and human life, which is confirmed by the results of reports and forecasts by international consulting companies, as well as the conclusions of russian experts. In this regard, the purpose of the conference, which brought together more than 350 participants from our country — students of classical, economic, technical, and law universities in Moscow, St. Petersburg, Tula, Saratov, Novosibirsk, Ufa, and other russian cities.; employees of scientific institutes, state corporations and private companies, as well as foreign researchers from the Czech Republic, China, Kazakhstan, Uzbekistan, Kyrgyzstan, and Azerbaijan, representing different generations and professions, have formed an active scientific platform for exchanging opinions and developing new knowledge on current trends, advantages, risks, and limitations associated with AI. Within the framework of the plenary session, practical professional discussion and six sections of the conference, the results of research carried out using methods of economic and mathematical modeling, systematic, critical historical and causal analysis, scenario approach and forecasting were presented. The participants’ reports reviewed the results of modeling economic and managerial decisions obtained using sovereign AI models both during the implementation of national economic development strategies by the state actor, and in the process of a comprehensive assessment of the sensitivity of various sectors of the economy to the introduction of AI, identifying key prospects for the formation of companies competitive advantages in the face of a sharp increase in the introduction of AI technologies and new requirements towards professional competencies in the labor market. Special attention at the conference was paid to updating the AI legal regulation.

About the Authors

I. M. Stepnov
MGIMO University
Russian Federation

Igor M. Stepnov — Dr. Sci. (Econ.), Prof., Head of Asset Management Department

Moscow



J. A. Kovalchuk
MGIMO University
Russian Federation

Julia А. Kovalchuk — Dr. Sci. (Econ.), Prof., Prof. of Asset Management Department

Moscow



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Review

For citations:


Stepnov I.M., Kovalchuk J.A. About the International Scientific and Practical Conference “Asset Management — 2025: Artificial Intelligence in Economic Decision-Making: Assets, Actors, Strategies”. Management Sciences. 2026;16(1):159-168. https://doi.org/10.26794/2304-022X-2026-16-1-159-168

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ISSN 2304-022X (Print)
ISSN 2618-9941 (Online)