Unlocking the Potential of Artificial Intelligence in Academic Libraries

The objective of this paper is to explore the utilization of Artificial Intelligence (AI) within library services to enhance efficiency, accuracy, and personalization for patrons, as well as to facilitate decision-making processes and improve overall operational performance. Using a qualitative research approach, this study reviews existing literature from sources such as Taylor and Francis Journals, Emerald Insights, Science Direct, Google Scholar, and Springer Link. The findings demonstrate that while AI has been widely applied in sectors like health, agriculture, finance, manufacturing, and education, its integration into academic libraries promises significant improvements in operations such as search and discovery, cataloging, circulation, digital preservation, and Chatbot services. Despite these positive outcomes, the study also highlights limitations, including a reliance on literature without direct input from librarians and patrons, which could provide deeper insights. The research offers practical implications for librarians in both public and private universities, showcasing the potential benefits and challenges of AI implementation. Additionally, it serves as a guideline for academic libraries and encourages stakeholders to consider AI adoption to enhance library services. The study addresses a gap in understanding the role of AI in library services and calls for future research to expand on these findings across diverse library contexts.