The rapid advancement of artificial intelligence (AI) is reshaping educational leadership, demanding a transition from hierarchical governance to adaptive, participatory, and ethically guided leadership models. Traditional frameworks struggle to address AI-driven complexities, necessitating leadership approaches that enhance institutional resilience, AI literacy, and sustainable decision-making. This paper presents the Dynamic Leadership Model (DLM) as a future-oriented framework for AI-integrated educational leadership, equipping institutions with strategic foresight, ethical AI governance, and digital competence to ensure long-term adaptability.

DLM serves as a core leadership framework in executive education on strategic sustainability, where leaders across sectors apply its principles to drive innovation, enhance institutional agility, and strengthen AI governance. Empirical insights from executives trained in DLM confirm its effectiveness in fostering leadership agility, participatory governance, and AI-driven transformation. The growing demand for leadership frameworks that integrate AI, sustainability, and institutional adaptability underscores the necessity of structured, scalable models like DLM.

The DLM framework cultivates five essential leadership capabilities to future-proof educational institutions in the AI era:
1. Digital Imagination – Utilizing AI to drive pedagogical innovation, optimize institutional efficiency, and ensure responsible deployment.
2. Strategic Foresight – Anticipating AI-driven disruptions through scenario planning and institutional adaptation.
3. Adaptive Leadership – Establishing governance agility through participatory decision-making and cross-sector collaboration.
4. Competence Development – Enhancing institution-wide AI literacy and continuous leadership development.
5. Ethical AI Governance – Implementing bias-aware, transparent AI policies aligned with academic integrity and institutional values.

A four-year longitudinal study (2020–2024) involving senior executives across diverse institutions confirms that organizations implementing DLM principles demonstrate greater institutional adaptability, stronger faculty engagement, and more effective AI governance than those relying on traditional management models. These findings align with broader workforce demands, highlighting the urgent need for leaders capable of integrating AI with sustainable, participatory leadership approaches. The DLM framework directly addresses this leadership gap, providing a structured, research-backed roadmap for transitioning from reactive AI adaptation to proactive, collaborative transformation.

This paper makes a significant contribution to AI-driven educational leadership by demonstrating how DLM strengthens institutional AI integration through shared governance, ethical leadership, and sustainable innovation strategies. The DLM framework offers an actionable, future-oriented approach, ensuring that AI enhances—not disrupts—institutional resilience, collaborative leadership, and long-term educational transformation.

As AI continues to evolve, institutions must move beyond passive technology adoption and embrace strategic, participatory, and ethically guided leadership approaches. The DLM framework provides a scalable, evidence-based model, ensuring that digital transformation fosters inclusive, trust-based, and future-ready institutions.

Keywords: Artificial Intelligence (AI) in Education, Dynamic Leadership Model (DLM), Strategic Foresight in Educational Leadership, Ethical AI Governance, Institutional Resilience and Adaptability.