Artificial intelligence in strategic management: transforming management decision-making processes in the digital econom

Abstract

I The rapid development of digital technologies and the growing role of data are radically changing approaches to managing modern organizations. The introduction of intelligent systems into strategic decision-making is becoming particularly important, as it determines the competitiveness and sustainability of companies in conditions of rapid market transformations. The purpose of this article is to investigate the transformational impact of artificial intelligence on strategic decision-making processes in the digital economy and to substantiate practical approaches to improving the effectiveness of strategic management. Methods of analytical review of scientific sources, comparative analysis of traditional and modern management approaches, as well as SWOT analysis were used to assess the advantages and risks of introducing automated systems into strategic management. The study is based on an analysis of domestic and foreign scientific literature, in particular reports by McKinsey, Gartner, OECD, and Forrester. Results. It is shown that AI significantly changes strategic management, making the decision-making process faster, more accurate, and more flexible. Key applications of AI are highlighted: automated data analysis, use of expert systems, scenario modeling, intelligent monitoring platforms, and AI platforms for team collaboration. Thanks to AI, strategic decisions become more objective, adaptive, and transparent. The increasing pace of AI adoption in global companies and in Ukraine has been identified. It has been determined that AI transforms the role of managers, allowing them to focus on strategic issues. Several significant risks were identified, including technological (dependence on data quality, “black box”), human resources (lack of specialists, loss of expertise), ethical (bias, responsibility), and cybersecurity (manipulation, attacks). At the same time, there are prospects such as personalization of strategies, creation of new business models, and cost optimization. Conclusions. A comprehensive approach to the implementation of intelligent technologies in strategic management is proposed. The need to develop managers' competencies, create hybrid decision-making models, and regularly audit automated processes is emphasized. The results obtained can be used to improve the digital transformation policies of organizations and increase the effectiveness of strategic management.