ECONOMIC AND MANAGERIAL EFFECTS OF USING ARTIFICIAL INTELLIGENCE IN THE RUSSIAN PUBLIC SECTOR

Sergey Muzalev

doi:10.29039/2500-1469-2025-13-10-241-252

VAK Russia 5.2.1 UDC 33 CSCSTI 06.00 Russian Classification of Professions by Education 38.00.00 Russian Library and Bibliographic Classification 6 Russian Trade and Bibliographic Classification 7 VAK Russia 5.2.3 VAK Russia 5.2.4 VAK Russia 5.2.5 VAK Russia 5.2.6 VAK Russia 5.2.7 UDC 35 CSCSTI 10.00 Russian Classification of Professions by Education 41.00.00

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ECONOMIC AND MANAGERIAL EFFECTS OF USING ARTIFICIAL INTELLIGENCE IN THE RUSSIAN PUBLIC SECTOR

Published in Russian Journal of Management · Volume 13, Issue 10 · Pages 241–252 · Rubric: Information Technologies in Management

DOI: https://doi.org/10.29039/2500-1469-2025-13-10-241-252

Received: 31.10.2025 Accepted: 02.11.2025 Published: 15.11.2025

Authors

Sergey Muzalev

ORCID

Sergey Muzalev

Academic degree: candidate of economic sciences

Science rang: docent

Financial University under the Government of the Russian Federation associate Professor · Department of Business Analytics · Moscow

Financial University under the Government of the Russian Federation Senior Researcher · Center for Scientific Research and Strategic Consulting · Moscow

ORCID

ABSTRACT

This article provides a comprehensive analysis of the economic and managerial effects of implementing artificial intelligence technologies in state and municipal government bodies of the Russian Federation. The empirical basis of the study is the results of the All-Russian Monitoring of Intellectual Maturity, which covered over two thousand regional executive bodies from 89 constituent entities of the Russian Federation, approximately 750 local government bodies, and nineteen priority areas of activity. The integrated intellectual maturity index of regional government bodies was found to be 3.9 points out of a possible 100, with only 2.2% of regional executive bodies using artificial intelligence technologies. Economic and managerial benefits were found to be concentrated primarily in leading regions and industries with developed digital infrastructure, while most regions limited themselves to pilot projects due to systemic resource shortages [6]. Critical barriers include low availability of computing power, platform solutions, data, and specialized personnel. Artificial intelligence was demonstrated to be primarily implemented in support processes, while core administrative and managerial functions were less involved. The need to prioritize five areas of state support was substantiated: funding infrastructure solutions, institutionalizing data management, developing human resource competencies, creating systems for evaluating and replicating successful practices, and strengthening trust and security mechanisms. The study's results provide a methodological basis for developing targeted management solutions for digital transformation in the public sector.

KEYWORDS

artificial intelligence, digital transformation, public sector, intellectual maturity, economic impact, management impact, public administration, digitalization

1. Analytical report "Index of Intellectual Maturity of the System of Public and Municipal Administration of the Russian Federation". Moscow 2024.

2. Hybrid Wars in the Age of Artificial Intelligence / O. G. Karpovich, A. Sh. Nogmova, D. I. Savelyev [et al.]. – Moscow: Diplomatic Academy of the Ministry of Foreign Affairs of Russia, 2025. – 428 p.

3. Zvonareva, N. S. Assessing the Impact of Ecosystem Implementation on Key Performance Indicators of Business Processes in Russian Companies / N. S. Zvonareva // Russian Journal of Management. – 2025. – Vol. 13, No. 6. – Pp. 238-256.

4. A Study of the Problems of Forming Financial Reports of Russian Organizations in the Context of Digitalization of the Economy / V. I. Barilenko, E. B. Gerasimova, E. V. Nikiforova [et al.]. – Moscow: OOO "Tsentrkatalog", 2025.

5. Minakov, AV Financing the Development of the Digital Economy in Modern Conditions / AV Minakov, AE Suglobov // Russian Journal of Management. – 2024. – Vol. 12, No. 1. – Pp. 37-49.

6. Minakov, AV Digital Tools in Managing Regional Spatial Development / AV Minakov, AE Suglobov // Issues of Regional Economics. – 2023. – No. 4(57). – Pp. 87-95.

7. Muzalev, SV The Role of Process Mining in the Digital Transformation of Enterprises / SV Muzalev // Issues of Regional Economics. – 2025. – No. 3(64). – Pp. 109-116.

8. Muzalev, S. V. Digital transformation and its impact on the analysis of business processes in the context of external sanctions / S. V. Muzalev // Economic sciences. - 2024. - No. 240. - Pp. 202-206.

9. Muzaleva, T. I. Organization and implementation of control and audit activities in educational organizations of the Ministry of Internal Affairs of Russia: A training and practical manual / T. I. Muzaleva, S. N. Belova, P. V. Samolysov. - Moscow: Academy of Management of the Ministry of Internal Affairs of Russia, 2025. - 76 p.

10. Muzaleva, T. I. Problems and prospects of information security in law enforcement agencies of the Russian Federation / T. I. Muzaleva // Informatization and information security of law enforcement agencies: collection of works of the International scientific and practical conference, Moscow, June 5, 2025. – Moscow: Academy of Management of the Ministry of Internal Affairs of Russia, 2025. – P. 310-318.

11. Nikiforova, N. A. Analytical review of artificial intelligence development trends / N. A. Nikiforova // RISK: Resources, Information, Supply, Competition. – 2024. – No. 2. – P. 198-202.

12. Nikiforova, N. A. Labor productivity and the use of artificial intelligence / N. A. Nikiforova // Bulletin of the Altai Academy of Economics and Law. – 2024. – No. 3-1. – P. 88-94.

13. Tolmachev, M. N. Analysis of the development of priority sectors of the Russian economy in modern conditions / M. N. Tolmachev, N. S. Zvonareva // Economic sciences. – 2024. – No. 236. – P. 284-288.

This work is licensed under Creative Commons Attribution-NonCommercial 4.0 International

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Chief editor

Aleksandr Suglobov

a_suglobov@mail.ru

Deputy Editor-in-chief

Aleksey S. Mindrin

Publishing editor

Nadezhda Troitskaya

nn2209@mail.ru +7(915)259-03-86

This work is licensed under Creative Commons Attribution-NonCommercial 4.0 International Creative Commons

GOST

Muzalev S. V. ECONOMIC AND MANAGERIAL EFFECTS OF USING ARTIFICIAL INTELLIGENCE IN THE RUSSIAN PUBLIC SECTOR // Russian Journal of Management. 2025. no. 10. pp. 241-252. DOI: https://doi.org/10.29039/2500-1469-2025-13-10-241-252. (Date of access 25.10.2026).

MLA

Sergey Muzalev. "ECONOMIC AND MANAGERIAL EFFECTS OF USING ARTIFICIAL INTELLIGENCE IN THE RUSSIAN PUBLIC SECTOR." Russian Journal of Management 13.10 (2025): 241-252. DOI: https://doi.org/10.29039/2500-1469-2025-13-10-241-252.

APA

Muzalev S. V. (2025). ECONOMIC AND MANAGERIAL EFFECTS OF USING ARTIFICIAL INTELLIGENCE IN THE RUSSIAN PUBLIC SECTOR. Russian Journal of Management, 13(10), 241-252. https://doi.org/10.29039/2500-1469-2025-13-10-241-252

Chicago

Sergey Muzalev. "ECONOMIC AND MANAGERIAL EFFECTS OF USING ARTIFICIAL INTELLIGENCE IN THE RUSSIAN PUBLIC SECTOR." Russian Journal of Management 13, no. 10 (2025): 241-252. https://doi.org/10.29039/2500-1469-2025-13-10-241-252.

WIKI

{{cite journal | author = Muzalev S. V. | title = ECONOMIC AND MANAGERIAL EFFECTS OF USING ARTIFICIAL INTELLIGENCE IN THE RUSSIAN PUBLIC SECTOR | journal = Russian Journal of Management | year = 2025 | volume = 13 | issue = 10 | pages = 241-252 | doi = 10.29039/2500-1469-2025-13-10-241-252 }}

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