Cultural Evolution and the Expansion of Artificial Intelligence as Challenges to the Public Administration System
EDN: XEZJFA
Abstract
Modern public administration systems are characterized by significant institutional inertia due to historically established practices, which limits their ability to transform operationally. However, the rapid expansion of artificial intelligence (AI) technologies and the deepening of global uncertainty require fundamentally new approaches to strategic management that are adequate to the challenges of our time. Based on interdisciplinary ontological analysis, which includes understanding the evolution of management paradigms and complex systems, the study proves that the formation of future management systems will be determined not only by strategic planning, but also by tactical adaptation to changing conditions. The paper reveals the managerial dilemma of the need to simultaneously maintain the operability of existing management systems, adapt them to digital technologies and form a strategic vision for the future; (b) it is proved that the expansion of AI, especially generative models, transforms cultural codes and value attitudes, imperceptibly changing mass consciousness and management practices; (c) it is argued that strategic management in the context of digital transformation requires a fundamental distinction between algorithmized operational tasks and the sphere of value-semantic solutions, which remains the prerogative of human intelligence. The main conclusion is that responsible implementation of AI in public administration requires overcoming the technological approach and considering the deep ontological and cultural consequences. The research results may be useful to government officials and developers of digital transformation strategies that consider the interaction of technological, managerial and value factors, as well as to the academic community for further development of management theories in the context of technological singularity.
Keywords
About the Authors
A. S. YukhnoRussian Federation
Alexander S. Yukhno, PhD in Law, Associate Professor, Senior Researcher, Head of the Department
Scientific and Innovative Management; Institute of Public Administration and Management; Department of Stateness
Moscow
Research interests: public administration, artificial intelligence, ontological modeling, human capital, digital economy
A. I. Ageev
Russian Federation
Alexander I. Ageev, Doctor of Economics, Professor, Leading Researcher
Scientific and Innovative Management
Moscow
Research interests: geopolitics, integration processes, information systems for supporting management decisions, project management, technological development
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Review
For citations:
Yukhno A.S., Ageev A.I. Cultural Evolution and the Expansion of Artificial Intelligence as Challenges to the Public Administration System. Sociology of Power. 2025;37(4):295-319. (In Russ.) EDN: XEZJFA












































