The rapid integration of Artificial Intelligence (AI) across sectors demands a reimagining of leadership in education. Despite the importance of AI integration, the absence of a structured framework for AI leadership in Malaysian schools presents a knowledge gap. Without clear guidance, school leaders may struggle to make informed decisions, communicate purpose-driven narratives, or cultivate trust and collaboration across stakeholders. This study was conducted based on the publication standard, namely ROSES (Reporting Standards for Systematic Evidence Syntheses). This study selected articles using two leading databases, namely Scopus and Web of Science. Based on thematic analysis, this study identified five core leadership dimensions, which are (i) Leadership and Management, (ii) Teaching and Learning, (iii) AI Citizenship, (iv) Training, and (v) Networking, which were identified as foundational for AI-readiness in educational institutions. Findings highlight that effective AI leadership requires not only technical proficiency and strategic vision but also human-centered adaptability, digital citizenship, and cross-sector collaboration. This study offered several significant contributions. Theoretically, this study presents an AI Leadership Framework based on the identified dimensions. Practically, this framework serves as a guiding scaffold for educational leaders, policymakers, and teacher training institutions aiming to cultivate AI-empowered ecosystems that are inclusive, ethical, and future-ready.