Management trends and implementation of AI in university management

The objective of this article was to explore managerial trends and the implementation of artificial intelligence in university management, with a particular focus on the Latin American context. To this end, a mixed study was designed, operationalized through a documentary review with bibliometric procedures, a qualitative thematic analysis, a triangulation system, and an integration of data supported by external sources. The results were organized into five management strategies, three emerging trends, five recommendations for managers, and five main themes. These trends reflect significant progress, but also pose challenges, especially in regions with structural inequalities and resource constraints. The data analyzed indicate the need for a balanced approach that combines technological innovation with ethical and social considerations. Furthermore, the findings emphasize the importance of international collaboration and local capacity building to ensure equitable and sustainable implementation of AI. It is concluded that it is cardinal to underline the potential of AI to transform higher education, provided that technical, ethical, and social challenges are addressed comprehensively.