Abstract：The shift in research trends related to artificial intelligence in library repositories during the coronavirus pandemic Purpose This study sought to analyze the correlation between artificial intelligenceAIand libraries and examine whether there were any shifts in research trends related to these two topics during the coronavirus pandemicDesignmethodologyapproach The study gathered secondary data from the Scopus website using the keywordsAIlibraryandrepositoryfrom 1993 to 2022Data were re-analyzed using the bibliometric software VOSviewer to examine the trending countrys keyword relations and appearance and Biblioshiny to study the publication metadataFindings Index keywordssuch ashumandeep learningmachine learningsurveysandopen-source softwarebecame popular during 2020being closely related to digital librariesAdditionallythe annual scientific production of papers increased significantly in 2021Words related to data mining also had the most significant growth from 2019 to 2022 because of the importance of data mining for library services during the pandemicPractical implications This study provides insight for librarians for the implementation of AI to support repositories during the pandemicLibrarians can learn how to maximize the AI-based repository services in academic libraries during the pandemicFurthermoreacademic libraries can create policies for repository services using AISocial implications This study can lead researchersacademicians and practitioners in conducting research on AI in library repositoriesOriginalityvalue As research on AI and digital repositories remains limitedthe study identifies themes and highlights the knowledge gap existing in the fieldThis study provides the insights of the librarys AI implementation of the library during the period of popularityLibrarians can learn how to maximize the inventory of academic library-based academic libraries during the popular periodThis study discusses the correlation between AI and librariesand pays special attention to whether research trends have changed during the period of coronary virusStudies have found that keywords such asdeep learningmachine learninganddata explorationbecame popular in 2020especially related to digital librariesEspecially from 2019 to 2022vocabulary related to data exploration is the fastestbecause data exploration of data exploration during great popularity has the importance to library services