Abstract
Artificial Intelligence (AI) is transforming the creation, organization, retrieval, and dissemination of information. Academic and agricultural libraries are increasingly expected to provide efficient, accessible, and user-centred services in a rapidly changing digital environment. Traditional library operations, including cataloguing, reference services, information retrieval, and collection management, can benefit from AI-supported technologies. This conceptual paper examines the potential of AI to improve library performance, particularly in academic and agricultural institutions. It explores applications such as intelligent search systems, virtual reference assistants, automated metadata generation, personalized information services, research support, and multilingual information access. The paper also discusses challenges associated with implementation, including financial constraints, inadequate technical expertise, data privacy, algorithmic bias, copyright, and the reliability of AI-generated information. A practical framework is proposed for introducing AI into library services through needs assessment, infrastructure development, staff training, pilot implementation, and continuous performance evaluation. The paper argues that AI should complement rather than replace professional librarianship. Responsible implementation, supported by institutional policies and digital literacy programmes, can help libraries improve service quality, strengthen research support, and expand equitable access to knowledge.