Abstract: 【Purpose/significance】Artificial intelligence technology is a supporting means for the intelligent transformation of libraries. The hotspot mining and trend analysis of AI-related research under the library field can help guide the direction of future research de⁃ velopment.【Method/process】LDA model was constructed for theme mining and evolution analysis of related literature data of CSSCI source journals in the field of library intelligence from 2014 to 2023. Based on this, hot research themes were identified【. Result/con⁃ clusion】As a result, 16 research themes were obtained, among which 5 themes were categorized as research hotspots. Finally, by orga⁃ nizing and analyzing the research results under the 5 research hotspots, the gaps in current research and the development prospects of future research are analyzed in depth. This study examines the hotspots of AI research in the domestic library field【. Innovation/limita⁃ tion】Future research can expand the research sample and further discuss the development trend of related research in the field of graphic intelligence at home and abroad.