GPT-5.5: evolution of agentic artificial intelligence (AI) in libraries
TL;DR
The results suggest that advanced models like GPT-5.5 can run away with agentic AI systems, and advice for researchers and practitioners aiming to conceive future-ready, smart library systems is provided.
Abstract
GPT-5.5-like systems and their place represent in progressing agentic artificial intelligence (AI) in library environments. This study aims to investigate how autonomous, purpose-directed AI agents can disrupt fundamental library operations, including information access, user services, knowledge organization and research support, while meeting shifting user expectations in digital knowledge ecosystems. This research is analytical-conceptual, based on an extensive review of recent literature regarding agentic AI and smart library systems. It reviews various theoretical models and practical applications and extracts important directions, technological features and areas of function that are important in context of conventional libraries that will be enabled for AI in future. The results suggest that advanced models like GPT-5.5can run away with agentic AI systems. It provides substantial improvements in automation, personalization and proactive assistance in library services. Systems have the ability to perform complex operations independently, including semantic search, metadata generation, user interaction and guiding the user in the research process. The issues surrounding data privacy, good governance and the transparency of such systems remain major roadblocks. This paper has added to existing conversation about AI and libraries by adopting an agentic lens with an emphasis on capabilities and autonomy. It provides advice for researchers and practitioners aiming to conceive future-ready, smart library systems.