Univrsity Of Tehran Press Journal of Information Technology Management 2980-7972 18 2 2026 04 01 AI-Driven Transformation in Libraries: AI Features in Open-Source vs. Proprietary Applications 100 109 107232 10.22059/jitm.2026.107232 EN Kadiri Raihanath Senior Librarian, Liwa College, Abu Dhabi, UAE. Anjali Mithu Gayan Assistant Professor, Dept. of Library and Information Science, Tripura University, Suryamaninagar, Tripura, India. Journal Article 2026 06 01 Libraries are fast-growing with the implementation of Artificial Intelligence technologies, trans-forming operations, resource management, and user services. This study examines AI implementa-tion in open-source and proprietary library systems. AI-driven solutions enhance cataloguing, metadata management, search functionality, discovery services, virtual assistance, and personalized user experiences. Proprietary systems are competitive in exploring AI adoption with predictive ana-lytics, automated classification, linked data, discovery services, and virtual assistants. In contrast, open-source systems show potential but require further technological advancements in the current studies. The study also explores the role of AI in digital repositories, research management, and dis-covery services. Future developments should try to improve open-source AI tools to ensure wider accessibility and inclusion of various types of libraries. Artificial Intelligence Machine learning academic library Open-Source Software Proprietary Software Library transformation https://jitm.ut.ac.ir/article_107232_c67c28461985d3c11b3a0468378533d0.pdf