AI: Myth or Reality of Job Loss in Libraries? Readiness of Delta State Librarians' Digital Skills for Library Services

Abstract

This study examines the readiness of librarians in Delta State, Nigeria, to integrate artificial intelligence (AI) into library services, focusing on their digital skills, perceptions of AI's impact on employment, and factors influencing AI adoption. Using a descriptive survey design, data were collected from a sample size of 180 Academic librarians through structured questionnaires assessing digital competencies, AI awareness, job security concerns, and implementation readiness. The findings reveal that librarians possess moderate to high digital skills, with strong proficiency in computer literacy, database management, and social media management. However, significant gaps exist in data analysis capabilities and practical knowledge of AI applications, highlighting a critical need for targeted training. Librarians generally perceive AI positively, viewing it as a tool to enhance their capabilities (mean = 3.18) and create new professional opportunities (mean = 2.97), rather than a threat to job security (mean = 2.34). Despite this optimism, awareness of AI's practical implementation in libraries remains limited (mean = 2.46), and readiness for integration is hindered by low institutional support (mean = 2.31) and resource constraints (mean = 2.14). Key factors influencing AI adoption include the availability of training (mean = 3.24) and management support (mean = 2.95), while infrastructural and financial barriers pose significant challenges. The study concludes that AI represents an evolutionary shift in library services, requiring librarians to adapt through continuous learning rather than facing displacement. Recommendations include professional development programs to bridge skills gaps, institutional investments in infrastructure, and policy frameworks to support AI adoption. Collaborative efforts between library associations and academic institutions are essential to ensure librarians remain relevant in an AI-enhanced digital era.