Libraries are recognized as institutions that place a high emphasis on delivering services, and they have been greatly impacted by the advancements in contemporary information technologies. The evolving demands of library users have compelled librarians to modify their approaches to service provision. Initially, the automation and digitization of libraries were the primary catalysts for expanding their functions and services. Nevertheless, in the last two decades, there have been substantial advancements in library services, with artificial intelligence (AI) playing a prominent role in this progress. AI is gaining prominence in various domains, and libraries are not exempt from its influence. While certain institutions may express apprehension regarding the potential disruptions associated with AI, libraries that adopt and integrate these innovative tools can reap advantages such as increased operational efficiency, expanded outreach efforts, and other positive outcomes. AI technologies are increasingly being integrated into library services with the goal of improving various aspects of library operations and enhancing user experiences. AI can be applied to various aspects of library services, including cataloging and metadata management, classification, recommendation, reference, discovery, data analytics, text and language processing, language learning and translation, and digital archiving and preservation. For instance, AI can assist librarians in automating the process of metadata creation and extraction, thereby enhancing the quality and consistency of bibliographic records, as well as identifying and correcting errors. Moreover, AI can support librarians in providing personalized and relevant recommendations to library users, taking into account their preferences, behavior, and contextual information. Additionally, AI can help librarians in addressing complex and diverse queries by utilizing natural language processing and semantic analysis techniques. Furthermore, AI can aid librarians in discovering new and emerging topics, trends, and patterns within the information landscape by utilizing data mining and machine learning methodologies. Lastly, AI can contribute to the preservation and digitization of library collections by employing image recognition and optical character recognition technologies.