The development of artificial intelligence (AI) technologies has brought unprecedented challenges and opportunities for higher education institutions (HEI). The possibilities of using AI technologies in specific areas of HEIs management need to be explored to keep up with the ongoing dynamic changes. For this reason, the objective of this study is to identify management levels and management subdisciplines in HEIs at which AI technologies are used. To achieve this aim, the scoping review method was chosen. Web of Science and Scopus databases were used to identify documents published 1992-2025, from which 11 publications were considered eligible for the review. Research shows that HEIs apply diverse AI technologies (e.g. machine learning, expert systems, chatbots). HEIs also utilize AI technologies at the operational level of management in the subdisciplines of quality management, knowledge management, and managerial decision support. In the case of functional level of management, human resources management and financial management and managerial accounting subdisciplines are mentioned in the sources. However, the findings also reveal that AI technologies are implemented in less than half of the identified subdisciplines. This suggests a limited and uneven adoption of AI technologies. Strikingly, the strategic level of management remains entirely absent from the reviewed literature. This gap might suggest that AI technologies are often deployed in a compartmentalized manner, rather than as part of an integrated institutional strategy. To fully harness AI’s transformative potential, HEIs should adopt a holistic approach that embeds AI technologies across all levels of management, namely strategic, operational, and functional.