“Next Gen Librarianship: Mastering AI and Data Science Roles”

Abstract

The swift adoption of Artificial Intelligence (AI) and Data Science is fundamentally redefining academic librarianship, moving it away from the stereotypical role of knowledge carrier to that of a competent partner in the field. This paper examines changes in major library activities driven by AI, including the automation of technical services such as cataloging and metadata creation, and the expansion of user engagement through increasingly complex personalization systems. This study explores new core competencies essential for librarians to succeed in this AI-rich environment, with a particular emphasis on the growing imperative of AI literacy and data analytics. It also critically considers the widespread constraints on effective uptake, including infrastructure shortfalls, limited budgets, and, importantly, the ethical terrain in which data privacy and algorithmic bias operate. Ultimately, the study outlines a strategic Ethical Framework for academic library leadership that highlights continuous skill development, including LIS curriculum transformation and stronger ethical mandates. This model, intended to "enable purposeful, sustainable, and effective adoption of AI," is thus about preserving the continued relevance and indispensable role that librarianship has in the era of Data Science.