The integration of Artificial Intelligence (AI) into Library Science marks a transformative shift in the way information is organized, accessed, and utilized. Libraries, once confined to manual cataloguing and physical data management, are now evolving into intelligent digital ecosystems that provide personalized, efficient, and user-centric services. This paper explores the role of AI in modern library operations, emphasizing its applications in cataloguing, metadata generation, information retrieval, recommendation systems, and virtual assistance. The study highlights how AI enhances the overall user experience by enabling smart search mechanisms, predictive analytics, and automated management processes. Moreover, it discusses the opportunities AI brings for librarians and researchers, including improved decision-making and real-time data insights. However, the adoption of AI also presents challenges related to data privacy, ethical use, and the need for technical competencies. This research provides a comprehensive overview of how AI-driven technologies are reshaping the future of Library Science, promoting accessibility, efficiency, and innovation in academic and public library systems.