Abstract
Artificial intelligence plays a crucial role in the transformation of library science by optimizing decision-making, automation, and data management. The current study explores the different aspects of an AI-driven framework for the improvement of academic libraries’ efficiency, resource allocation, and service optimization. Other AI applications like learning analytics, virtual reality, recommendation systems, reduction of the workload of administrators, and optimization of different library operations. The current study highlights the technical challenges associated with metadata usages, semantic technologies, and the adoption of fair technologies.