POSSIBLE TRENDS IN THE DEVELOPMENT OF MANAGEMENT SYSTEMS BASED ON THE HYPOTHESIS "FROM DIGITAL MANAGEMENT TO NEURAL NETWORK MANAGEMENT

Abstract

The article examines the trajectory of the evolution of management systems from the mature digital management paradigm to the emerging paradigm of neural network management. The relevance of the research is reflected in the need to understand that AI is becoming the basis of management and is due to the onset of a qualitatively new phase of technological development associated with the emergence of artificial general intelligence (AGI), autonomous AI agents and generative models capable of reasoning and action. The importance of the research lies in the development of a proactive map for business, government, and the academic community, allowing them to anticipate the institutional and organizational consequences of technological change. The theoretical significance of the article lies in the synthesis of the provisions of management theory, computer science and institutional economics for the conceptualization of neural network management as a phenomenon defined by the triad "algorithmic agency – data – organizational environment". The practical significance lies in the development of a structured approach to diagnosing an organization's readiness for NSM, a step-by-step transformation roadmap, and a system of measures to minimize associated risks, including algorithmic biases, cyber attacks on neuroarchitectures, and social resistance. The results of the study include a matrix of comparative analysis of paradigms, a typologization of transition barriers and a number of recommendations for changing managerial ontology.