In the digital era, libraries are undergoing rapid transformation, shifting from traditional physical repositories to sophisticated digital knowledge hubs. The integration of Artificial Intelligence (AI) in digital library services has revolutionized the way information is organized, accessed, and utilized. This study explores the evolving role of AI technologies—such as machine learning, natural language processing, recommendation systems, and computer vision—in enhancing the efficiency, accuracy, and user experience of digital libraries. By examining both theoretical insights and practical applications, the paper investigates how AI is reshaping cataloging, metadata generation, semantic search, user personalization, and automated assistance. The study also highlights key challenges in AI implementation, such as ethical considerations, data privacy, and infrastructural constraints. Findings suggest that while AI holds immense potential to enhance digital library services, a balanced, user-centered, and ethically aware approach is essential for sustainable development.

Zenodo DOI:- https://doi.org/10.5281/zenodo.16778171