Artificial intelligence readiness in academic libraries: a strategic multidimensional assessment framework

Purpose This study aims to establish a strategic multidimensional framework for assessing the artificial intelligence (AI) readiness of academic libraries in Bangladesh through analyzing various dimensions, including technological infrastructure, human capacity, organizational support, policy and governance, financial capacity and ethical considerations. Design/methodology/approach The study was conducted through a literature review and examining various policy documents and institutional reports using a conceptual and analytical approach to review the existing situation, challenges, opportunities and strategic implications of using AI in the academic library sector. Findings While automation and information and communication technology adoption have helped the digital transformation of academic libraries in Bangladesh, the introduction of AI technology is still in its infancy, with several challenges, including inadequate infrastructure, a lack of expertise and poor strategic planning. As the country becomes more interested in digital breakthroughs, there is a compelling reason to speed up the adoption of AI. Practical implications The authors provide a multidimensional instrument for librarians and policymakers worldwide to assess AI readiness and guide them in making decisions about investing in infrastructure, training and policies to successfully and sustainably integrate AI into academic libraries. Originality/value It proposes an innovative, context-specific framework for measuring AI readiness in developing countries and offers practical policy recommendations for the sustainable, inclusive adoption of AI in the higher education library sector.