The influence of generative artificial intelligence on the redistribution of human resources in the management hierarchies of a modern enterprise

Abstract

This article is devoted to the study of the influence of generative artificial intelligence (AI) on the redistribution of human resources in the management hierarchies of a modern enterprise. The introduction describes the relevance of the problem in the context of digital business transformation and the rapid development of AI technologies that are changing traditional management models. The purpose of the work is to assess how the use of generative AI affects the structure of the distribution of managerial roles, optimization of decision–making processes and increasing the efficiency of enterprises. The Methods section outlines the approaches used, including a comprehensive case study analysis, quantitative surveys of specialists, and qualitative interviews with senior managers. Statistical methods were used to process the collected data, which revealed the relationship between the introduction of AI and changes in management structures. The source materials were corporate reports of enterprises in various industries, survey results and interviews with experts in the field of management and information technology. The Results section presents the key findings of the study: the introduction of generative AI helps optimize management processes and change the distribution of functions among employees. The analysis shows that automation of routine tasks and decision support using AI lead to a reduction in the number of positions at the middle management level and a strengthening of the role of highly qualified specialists. The data obtained indicate that the use of AI not only increases the efficiency of decisions, but also requires retraining of personnel to work in new conditions. In the "Discussion" section, the prospects for further integration of generative AI into human resource management systems are analyzed. The potential risks associated with staff adaptation and changes in corporate culture are discussed, and the need for a systematic approach to employee training and a review of traditional management strategies is emphasized. The final conclusions of the study can contribute to a deeper understanding of the processes of digital transformation in management and the refinement of leadership practices in the context of rapid technology development.