The management of federal university libraries in Nigeria\'s North-Western states faces persistent challenges including outdated cataloging systems, inefficient resource management, limited realtime user support, and inadequate digital archiving mechanisms. This study examined the impact of Artificial Intelligence (AI) on library management across these institutions, focusing on five dimensions: AI-enabled cataloging and classification, automated resource management, AI-based user support systems, predictive analytics, and digital archiving. Anchored in Cognitive Science Theory and Henri Fayol\'s Administrative Management Theory, a descriptive survey design was adopted. The population comprised 135 librarians drawn from seven federal university libraries in the North-West geopolitical zone of Nigeria, with total population sampling employed. A researcher-developed questionnaire the Impact of Artificial Intelligence on Management Questionnaire (IAIMQ) comprising 40 items on a 4-point Likert scale was used for data collection. Face and content validity were established through expert review; reliability was confirmed via Cronbach\'s Alpha (? = 0.87). Data were analyzed using mean, standard deviation, and chi-square statistics. Findings revealed that AI-enabled cataloging and classification (Grand Mean = 3.62), automated resource management (Grand Mean = 3.71), AI-based user support systems (Grand Mean = 3.58), predictive analytics (Grand Mean = 3.64), and digital archiving (Grand Mean = 3.69) all significantly impact library management efficiency, resource organization, user satisfaction, and digital preservation. The study recommends sustained investment in AI infrastructure, structured capacity-building for library professionals, and supportive national policy frameworks to facilitate AI adoption in Nigerian university libraries.