Manager in the age of algorithms: the use of AI tools in decision-making processes

Purpose: The purpose of the article is to analyze the role of managers in the context of the growing use of artificial intelligence (AI) tools in decision-making processes. The author attempts to answer questions related to the competencies required for effective management in data-driven environments and identifies key challenges and under-researched areas concerning the adaptation of AI technologies within organizations. Methodology: The study was conducted among 85 managers, business owners, and leaders representing various management levels and economic sectors. A questionnaire method and in-depth interviews were used. The sample was purposefully selected, taking into account the level of AI implementation, company size, and industry. The analysis focused on attitudes toward AI, the scope of tool usage, and the competencies required for their effective application. Findings: Respondents most frequently used AI for data analysis, process automation, and customer relationship management. The key benefits identified were increased efficiency, more accurate decision-making, and cost reduction. The most important competencies included data analysis skills (86%), adaptability (74%), and critical thinking (73%). Smaller enterprises were less likely to implement AI due to financial constraints and a lack of technological competencies. Most managers recognized the need for further education in analytical tools and AI. Research limitations: The main limitation is the purposive sampling method, which restricts the generalizability of the results. The article highlights the need for further research on the barriers to AI implementation, particularly in sectors with a low level of digitalization. Practical implications: The research findings may influence training strategies within organizations and the development of competency programs for managers. The results suggest a need to invest in the development of digital and analytical skills among leaders. Social implications: The use of AI in management also requires reflection on ethical considerations, algorithmic transparency, and social responsibility, especially in the context of decisions that impact people. Originality/value: The article fills a research gap by combining theoretical and practical perspectives, providing a comprehensive view of managerial competencies in the age of AI. It is intended for scholars, management practitioners, and technology decision-makers. Keywords: manager, management, algorithms, competencies, AI. Category of the paper: research paper.