文章基于美国图书馆界近期发布的134份AI相关岗位招聘信息，运用LDA主题模型对其岗位职责和任职要求进行量化分析，揭示了图书馆员AI能力需求的特征，据此构建了图书馆员AI能力框架，明确了各能力要素间的有机联动关系，总结了美国图书馆对馆员AI能力需求的特征与经验，并提出了我国图书馆员AI能力发展的建议，包括聚焦中文语境下的技术能力培养、促进岗位职责与图书馆服务场景的深度融合、构建适配图书馆场景的治理保障培养体系，以期为我国图书馆在智慧化转型过程中的人才队伍建设提供决策依据。

Based on 134 recently released AI-related job postings in the US library field, this paper employs the Latent Dirichlet Allocation (LDA) topic model to conduct a quantitative analysis of job responsibilities and qualification requirements. It systematically reveals the characteristics of AI competency demands for librarians, and accordingly constructs an AI competency framework for librarians, clarifying the organic interconnections among various competency elements. Additionally, the paper summarizes the characteristics and experiences of AI competency requirements for librarians in US libraries, and proposes recommendations for the development of AI competencies among Chinese librarians. These recommendations include focusing on the cultivation of technical competencies in the Chinese context, promoting the in-depth integration of job responsibilities with library service scenarios, and establishing a governance guarantee and capacity-building system tailored to library contexts. This research aims to provide decision-making support for the talent team construction of Chinese libraries in the process of intelligent transformation.