Abstract School leadership is changing due to the growing integration of artificial intelligence (AI) into educational institutions. AI can improve data-driven decision-making, automate administrative duties, and assist school administrators in managing their stress. However, its integration also provides difficulties and ethical issues that should be carefully considered. This study aims to investigate how AI affects school leadership, with a particular emphasis on how it affects stress management, educational governance, and policy implementation. The goal is to examine how AI can improve leadership efficacy while tackling possible issues in the field of education. By automating repetitive processes and facilitating more effective time management and decision-making, AI-driven solutions have greatly lessened the administrative load on school administrators. However, The incorporation of AI brings difficulties, including algorithmic bias, employee resistance, and the requirement for ethical standards. School administrators must balance AI's effectiveness with human judgment while applying it openly and morally. AI has enormous potential to change educational governance through enhancing adherence, tracking student progress, and allocating resources as efficiently as possible. But putting it into practice calls for careful handling of moral issues like algorithmic bias, data privacy, and transparency. School administrators should prioritise AI literacy, set ethical standards, and promote a collaborative atmosphere to optimise AI's advantages. Educators must get professional development and training to incorporate AI into school systems successfully.

The following resources are related to this publication by citation.