[目的/意义] 高校图书馆讲座现场产生的口头论述、互动问答、读者反馈等知识资源，蕴含着丰富的隐性知识，却因缺乏有效的捕获与转化手段导致讲座知识随活动结束而流失，沦为“一次性事件”。为解决这一业务痛点，本文旨在探索一条以SECI知识创造螺旋为理论驱动、以AI技术为赋能工具的讲座知识全生命周期管理路径，提升高校图书馆的学术支持与知识服务能力。 [方法/过程] 首先，梳理零次信息、SECI知识创造模型及AI赋能技术的研究现状，识别现有研究在讲座知识管理整合框架方面的缺口与理论整合契机。其次，以SECI知识创造螺旋为核心理论框架，以AI技术为赋能手段，构建覆盖讲座知识从产生、捕获、转化、整合到应用全生命周期的管理路径。最后，以某高校图书馆“信息与人类文明”主题讲座为模拟场景，逐阶段推演AI技术在SECI各环节中的具体应用，验证该路径在隐性知识激发、知识显性化、跨文档知识融合及个性化知识内化等关键环节的可行性。 [结果/结论] 研究表明，SECI驱动与AI赋能的知识管理路径能够有效将传统管理模式下易流失、难关联、不闭环的讲座知识，转化为可持续积累、动态关联的知识资产。

[Purpose/Significance] University library lectures generate rich knowledge resources, including oral presentations, interactive Q&A sessions, and reader feedback, which contain substantial tacit knowledge. However, due to the lack of effective capture and transformation mechanisms, this knowledge tends to dissipate upon the conclusion of each lecture, rendering these events as "one-off" occurrences rather than sustainable assets. To address this practical challenge, this paper aims to explore a knowledge management pathway for university library lectures driven by the SECI knowledge creation spiral and empowered by AI technologies, with the goal of enhancing the academic support and knowledge service capabilities of university libraries. [Method/Process] This study first reviews the current research on zero-information capture, the SECI knowledge creation model, and AI-empowered technologies, identifying research gaps and opportunities for theoretical integration in developing a comprehensive framework for lecture knowledge management. Drawing upon the SECI spiral as the core theoretical framework and AI technologies as enabling tools, the study constructs a full-lifecycle management pathway covering lecture knowledge from generation, capture, transformation, integration, to application. A simulated case study is then conducted based on a university library lecture themed "Information and Human Civilization," in which AI applications are examined stage by stage across the SECI phases to demonstrate their feasibility in facilitating tacit knowledge elicitation, knowledge externalization, cross-document knowledge fusion, and personalized knowledge internalization. [Result/Conclusion] The findings indicate that the SECI-driven and AI-empowered knowledge management pathway effectively converts lecture knowledge—which is prone to loss, difficult to associate, and lacks closed-loop management under traditional approaches—into sustainable, dynamically interconnected knowledge assets.