<![CDATA[This study examines Artificial Intelligence (AI) ecosystem adaptation strategies in Islamic Religious Higher Education Institutions (PTKI) through a multi-site comparative study of STIT Bustanul Ulum, the University of Zawia (Libya), and Badakhshan University (Afghanistan). Drawing on the Diffusion of Innovation Theory, Digital Maturity Model, and RAISE Framework, the study analyzes the challenges and opportunities of AI integration in Islamic higher education. Five key aspects are examined: digital infrastructure, funding constraints, integration of Islamic values, human resource development, and socio-cultural complexities. A multi-site comparative methodology was employed to identify patterns and transferable lessons across institutions. The findings indicate that contextual factors create differences among the institutions, while shared institutional commitment to Islamic values fosters alignment. AI ecosystem development therefore requires context-specific strategies rather than a one-size-fits-all approach. The proposed ecosystem integrates a core framework structure, component interaction mechanisms, a conceptual model, implementation directions, and an Islamic value-based approach. This framework provides a roadmap for developing a humanistic, collaborative, and adaptive AI ecosystem grounded in Islamic values. It can support digital policy development at STIT Bustanul Ulum and serve as a reference for other PTKI. Limited access to data and uneven information depth across overseas sites may introduce bias, highlighting the need for stronger networks and multi-stakeholder collaboration.]]>
