Artificial intelligence is reshaping how leadership is enacted, distributed, and negotiated across school organizations. As algorithmic systems become embedded in instruction, assessment, and organizational routines, leadership can no longer be exercised solely through the principal’s individual authority. Instead, AI introduces new actors, new expertise requirements, and new decision-making structures that make distributed leadership an operational necessity rather than a theoretical ideal. This chapter explores AI-enhanced distributed leadership, examining how human–AI collaboration transforms roles, responsibilities, and patterns of influence within school organizations. Drawing on distributed leadership theory, adaptive leadership, and complexity leadership frameworks, the chapter analyzes how AI tools redistribute cognitive labor, reshape expertise, and create opportunities for shared sensemaking. It argues that the interpretation of algorithmic insights—particularly those related to learning analytics, predictive modeling, and automation—requires collective judgment that spans teachers, IT staff, counselors, and school leaders. The chapter also examines how algorithmic authority challenges traditional hierarchies, raising questions about trust, transparency, and the balance between human and machine reasoning. The chapter proposes a practical model for building cross-functional AI leadership teams, strengthening teacher leadership, and incorporating student voice into AI-mediated learning environments. It also provides tools for designing governance routines, facilitating AI-focused professional learning communities, and managing tensions that arise when algorithmic recommendations conflict with professional judgment. By offering a comprehensive framework for AI-enhanced distributed leadership, the chapter contributes a forward-looking perspective on how school organizations can navigate the ethical, organizational, and relational complexities of the AI era while preserving human-centered leadership as their core anchor.