Agentic AI and the future of library services

Abstract

Purpose The purpose of this paper is to examine how agentic artificial intelligence may influence the future of library services. It discusses the nature of agentic systems, how they are evolving, what other sectors are learning from their use and what librarians should consider as these tools become more common. Design/methodology/approach This paper uses a conceptual and narrative design. It draws on current discussions to provide an informed reflection on the development of agentic artificial intelligence and its implications for library services. Findings This paper finds that agentic artificial intelligence is shifting from simple response-based technologies to systems that can interpret situations, initiate tasks and adjust their behaviour. Evidence from other sectors shows that agentic systems can support decision-making, reduce routine work and improve co-ordination when used with appropriate oversight. For libraries, these developments suggest opportunities for more responsive services, new forms of user support and enhanced workflow management. Originality/value To the best of the author’s knowledge, this paper is one of the early practice-focused reflections on agentic artificial intelligence within a library context. The discussion in this paper supports planning by providing opportunities and challenges associated with the integration of agentic systems in library environments.

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