UNIVERSITY MANAGEMENT IN THE AI ERA: CHALLENGES AND ADAPTATION

Abstract

The rapid advancement of Artificial Intelligence (AI) technology has led universities to face significant changes in managing all dimensions. This article aimed to present the challenges in university management and adaptation approaches in the AI era by analyzing the impacts and changes occurring in various aspects, including education management, administration, and personnel development. The study found that universities face significant challenges in adjusting curricula and teaching methods to meet labor market demands, developing technological infrastructure, managing resources, and developing personnel with essential skills in the digital era. Key adaptation approaches included restructuring organizations for flexibility, implementing AI to enhance operational efficiency, developing data management systems, modernizing curricula, creating blended learning experiences, and establishing cooperation with various sectors. Success in adaptation required clear vision from administrators, participation from all sectors, systematic planning and implementation, as well as continuous monitoring and evaluation. Universities that can effectively adapt and cope with these challenges will be able to maintain their academic leadership and create sustainable value for society in the AI era.