Artificial intelligence (hereafter referred to as AI) is becoming increasingly prevalent in various areas of public life, including management. That is why it is important to identify, on the one hand, the advantages of these technological solutions, and, on the other hand, the real and potential risks of widespread use of hybrid management models. The problem is that quite often researchers focus on individual aspects of this topic, which makes it difficult to form a systematic understanding of the process of integrating AI into management systems. The article is based on general scientific and special sociological methods, including comparative and genetic methods, typological methods, etc. Based on the analysis of relevant foreign and domestic scientific literature, as well as data from empirical research, the main approaches to the conceptualization of the term “artificial intelligence” are considered, and modern classifications of AI are presented depending on the level of tasks performed. Particular attention is paid to the possibilities of using AI at different levels of the management system, which include support in making managerial decisions, identifying risks, increasing efficiency, etc. Such risks of introducing AI technologies as technological problems, negative social consequences, legal collisions, etc. are analyzed. A conclusion is made about the need for further study of these problems in an interdisciplinary scientific field.