In the evolving landscape of academic librarianship, integrating artificial intelligence (AI) and digital technologies has significantly reshaped professional practices and research engagement. This study investigates the predictive relationship between AI dependence and digital competence on the research capability of academic librarians in the Philippines. Grounded in the Unified Theory of Acceptance and Use of Technology 2, supported by Self-Efficacy Theory and the Diffusion of Innovations Theory, the study employed a descriptive-correlational and predictive quantitative research design. A structured questionnaire was administered to 1,000 librarians across Luzon, Visayas, and Mindanao, assessing levels of AI dependence, digital competence, and research capability. Results revealed a high level of AI dependence (M = 4.01) and a very high level of digital competence (M = 4.24), while research capability was only at a moderate level (M = 2.97). Pearson correlation showed significant positive relationships between the independent variables and research capability, with digital competence showing a stronger association (r = 0.328) than AI dependence (r = 0.194). Multiple regression analysis confirmed that both predictors significantly influence research capability, with digital competence emerging as the dominant predictor. Based on these results, the Artificial Intelligence and Digital Competence–Research Capability Model (AIDC–RC Model) was developed to illustrate the validated causal pathways. The model provides a strategic framework for designing interventions. It is recommended that academic institutions strengthen professional development focused on ethical AI use, digital fluency, and sustained research training to bridge the gap between technological proficiency and scholarly productivity.

Academic librarianship, Artificial intelligence, Artificial intelligence dependence, Digital competence, Library and information science, Research capability