Nowadays, artificial intelligence has become one of the pillars of companies’ business efficiency. To analyze trends in this field, we conducted a bibliometric study of 301 articles published in the Scopus database between 2006 and 2024. The analysis is based on quantitative indicators such as keyword occurrence networks and bibliographic citations. Using this approach, we were able to identify six clusters, each emphasizing specific aspects of integrating AI into business performance. First, digital transformation and AI for business performance, second, decision support systems and performance measurement in industry and supply chains. Third, advanced analytics and machine learning for industry and business optimization. Fourth, new technologies for business process automation and efficiency improvement. Fifth, data-driven strategic management to improve business performance and customer satisfaction. Finally, AI-based human resource management and natural language processing for corporate intelligence. Our findings indicate the growing importance of AI in various aspects of business management. However, our study also revealed research gaps.