Librarians' perspectives on AI for environmental sustainability in Ghanaian academic libraries

Purpose This study examined academic librarians' perspectives on the potential of artificial intelligence to advance environmental sustainability through sustainable library practices and efficient service delivery. Design/methodology/approach A qualitative approach was adopted, drawing on semi-structured interviews with 21 academic librarians and guided by the Technology Acceptance Model. Thematic analysis was used to identify key patterns and perspectives on AI adoption for environmental sustainability in academic libraries. Findings The study found that academic librarians recognize AI's potential to advance environmental sustainability through intelligent energy management, predictive maintenance, environmental monitoring, and sustainability planning, yet its practical implementation remains limited. Research limitations/implications The qualitative design and small sample limit generalizability; however, the findings provide contextual insights and a basis for broader research across diverse library settings. Practical implications The findings recommend that universities and library management integrate AI into sustainability planning through effective governance, improved digital infrastructure, and continuous AI literacy training, supported by national policies and investment in responsible AI innovation. Social implications The study highlights the value of AI in advancing environmental sustainability in libraries, emphasizing the need for educational initiatives, institutional policies, and responsible technology adoption. Originality/value This study provides timely empirical insight into AI-enabled environmental sustainability in Ghanaian academic libraries, highlighting the critical gap between librarians' awareness and perceived potential of AI and its limited practical implementation.