This study examines the reinterpretation of Ranganathan’s Five Laws of Library Science in the context of Artificial Intelligence (AI). The Five Laws, initially formulated for print-based contexts, continue to serve as relevant guiding principles for contemporary libraries, necessitating adaptation to digital and AI-driven services. This study analyses the impact of AI technologies, including machine learning, natural language processing, recommendation systems, semantic indexing, and robotic process automation, on improving access, personalizing information delivery, aligning resources with users, enhancing time efficiency, and fostering adaptive growth. This underscores the changing professional responsibilities of librarians as curators of data-driven collections and enablers of AI-supported services. The study concludes that AI operationalizes and extends Ranganathan’s principles, resulting in dynamic, responsive, and user-centric library ecosystems.