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Artificial intelligence (AI) is consistently reshaping information literacy (IL) library services, training, and professional practices in academic libraries. This study provides a scientometric analysis of scholarly communication to investigate the integration of AI, IL, and academic libraries from 2020 to 2025. To do so, we obtained the bibliographic data from Web of Science, Scopus, ScienceDirect, EBSCO, and SpringerLink. We retained 1669 out of a total of 6500 publications, which were assessed by productivity metrics, global and time-normalized citation metrics, and network analysis of journals, authors, nations, and keywords. The results indicate focused and rapidly growing research published in leading journals. The Journal of Academic Librarianship emerged highly productive journal, publishing 92 articles (5.5%) over the study period, being a central node of journal co-citation networks. Moreover, it indicates how AI is shaping the IL services and align academic libraries as essential venues for the practical application of AI in information literacy services and education, especially in staff capacity building, ethical management, and assisted use of generative AI applications. The country-level analyses show that the United States emerged the best performing country for AI-IL research production and collaboration. Nevertheless, other contributions, such as those from Asia and Africa, indicate that the number of researchers in this field is growing despite structural discrepancies. The research will present the first comprehensive, data-based analysis of trends in publications, conceptual models, and the development of AI-related information literacy in scholarly libraries, providing empirical evidence on the global development of the LIS field.
Jabeen et al. (Wed,) studied this question.