AI-DRIVEN INFORMATION SERVICES: ARE KENYAN UNIVERSITY LIBRARIES READY?

Abstract

Artificial Intelligence (AI) presents substantial opportunities to advance library services and user experiences in university libraries. However, despite the growing global adoption of AI in university libraries, Kenyan university libraries face challenges that hinder AI-driven innovation, affecting service delivery and user satisfaction. This study assessed the readiness of Kenyan university libraries for AI adoption by examining key enablers and challenges of AI adoption. A systematic review of journal articles and research papers from Google Scholar, EBSCOhost and Emerald databases from 2020-2025 was conducted, focusing on AI adoption in university libraries in Kenya. Themes were identified through thematic analysis, ensuring a comprehensive understanding of AI readiness. Results showed that Kenyan University libraries have poor ICT infrastructure; library staff lack AI specific skills, and users have mixed perceptions about AI use in libraries. These challenges are common across many university libraries in Kenya, and inhibit seamless integration of AI into library operations. Although there are challenges, the interest in AI adoption creates an opportunity for policymakers and universities to promote digital transformation in library services. If these challenges are resolved, Kenyan university libraries can effectively provide AI-driven information services. There is need for government, university administration, and library associations to collaborate, increase funding for AI adoption, formulate appropriate policy and initiate capacity building programs. This paper provides a basis for development of a framework to guide policy and practice in AI-enhanced library service delivery.