Artificial Intelligence In Academic Libraries: A Systematic Literature Review Of Applications, Challenges, And Trends (2019-2025)

!e development of artificial intelligence (AI) has driven significant transformation in the provision of academic library services. !is study aims to systematically analyze the use of AI in academic libraries through a Systematic Literature Review (SLR) approach. A total of 45 scientific articles published between 2019 and 2024 were reviewed using the PRISMA protocol, which includes the stages of identification, selection, exclusion, and thematic data synthesis. !e review results indicate that AI has been widely adopted in various library services, such as chatbots for reference services, automatic classification of digital collections, machine learning-based recommendation systems, and personalized information literacy. However, the adoption of AI also faces challenges such as infrastructure limitations, low AI literacy among librarians, and ethical and data privacy issues. Factors such as organizational readiness, strategic policy support, and human resource competencies influence the selection and successful implementation of AI technology. AI has proven to make a positive contribution in supporting the educational, research, and community service functions of libraries, as well as promoting interdisciplinary collaboration. Ethical, transparent, and collaborative integration strategies are essential for libraries to remain relevant in the digital ecosystem. !ese findings provide critical insights for the development of AI policies and practices in academic libraries. Further research is recommended to develop evaluative models and more inclusive and contextual AI co-design approaches.