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This study will investigate the integration of Artificial Intelligence (AI) as a transformative tool in cataloguing and classification processes within selected academic libraries in Lusaka Province, Zambia. As AI technologies such as machine learning and natural language processing increasingly influence library operations globally, this research aims to assess their level of adoption, impact on cataloguing accuracy and consistency, and the challenges and opportunities associated with their use. Guided by a quantitative research design, the study employed stratified random sampling to gather data from librarians in registered public academic libraries using structured questionnaires. Findings are expected to highlight the extent of AI adoption, reveal infrastructural and capacity-related barriers, and inform strategies for effective and ethical integration of AI into library workflows. The results will contribute to the growing body of knowledge on AI in library science, providing evidence-based recommendations to enhance metadata practices and service delivery in Zambian academic libraries.