Leadership Adaptation During AI-Driven Institutional Transformation

Adi Rahmat (Universitas Lancang Kuning)

Formosa Journal of Science and Technology (FJST)
Vol. 4 No. 9 (2025): September 2025

This study explores how leaders adapt to institutional changes driven by artificial intelligence (AI), focusing on leadership strategies, managerial flexibility, and their impact on human resource engagement. Using a qualitative case study with 12 key informants from a higher education institution in Riau, data were collected through in-depth interviews and analyzed thematically. Findings show that effective leadership adaptation relies on articulating a clear AI transformation vision, developing human resource capacity through continuous training, and implementing participatory communication to reduce resistance. The study concludes that leadership adaptation is crucial for sustaining AI-based transformation and contributes both theoretically and practically to adaptive leadership and HR management in the digital era.