Abstract：UTAUT as a Model for Understanding Intention to Adopt AI and Related Technologies among Librarians This study explored the intention to adopt various AI and related technologies by academic and public librariansA survey was disseminated through various library organization lists to collect input on issues surrounding AI attitude and intentions among librarians in North AmericaWe utilized the Unified Theory of Acceptance and Use of TechnologyUTAUTas a framework and performed structural equation modelingSEMand related statistical analysesusing SPSS and AMOSOur findings confirm that the UTAUT can partially predict the likelihood of AI and related technologies adoption intentions among librariansThe model showed that performance expectancyPEand attitude toward useATUof AI and related technologies had significant effects on librariansintention to adopt AI and related technologieswhile social influenceSIand effort expectancyEEdid notWe conclude that UTAUT is a viable integrated theoretical framework thatwhen properly designed and executed within a studyand lends itself to robust statistical analyses such as SEMUTAUT is helpful as a framework for future approaches to designing and promoting adoption and use of emerging technologies by librariansLibrary AutomationWith the emergence of AI and related technologiesthe possibility of library automation increasessuch as using robotsConsulting ServiceAI can provide more advanced services to enhance user servicesCollection classificationretrieval and indexRetrieval and IndexingAI can help automatic classification and retrieval informationInstificational CollectionAI and related technologies have potential to improve data storage and analysisExpert systemAI involves creating computers and machines that can imitate human behaviorwhich usually involves the expert systemRobotDescribes machines that can interact with the environment and perform conventional tasksIOTThe Internet of Things involves interconnection between equipment and objectsData explorationBig data involves a large amount of data generated in the technical erawhich usually involves data exploration