In the digital era, users’ information needs are increasingly characterized by diversity and personalization. Traditional library communication models, constrained by limitations such as single resource carriers, delayed service responses, and restricted spatial coverage, can no longer meet these evolving demands. The rapid advancement of artificial intelligence (AI) and big data technologies has provided strong technical support for the transformation of library communication. Through methods such as literature analysis and logical reasoning, this study explores the technological foundations of AI and big data–empowered integrated communication in libraries. It constructs an innovative three-dimensional model of integrated communication across resources, services, and spaces; analyzes the coordination mechanisms between technologies and stakeholders; identifies existing challenges in technological adaptation, data security, and personnel capacity; and proposes targeted optimization strategies. This research aims to offer theoretical guidance for libraries to enhance their communication capabilities and improve service efficiency.