This study aims to determine the effect of utilizing ChatGPT on information retrieval among students of the Library and Information Science Study Program at Universitas Negeri Padang. As a form of artificial intelligence (AI), ChatGPT is expected to enhance the effectiveness, efficiency, and accuracy of academic information searching processes. This research employs a quantitative approach with a descriptive method. The population consisted of 91 students, and a sample of 75 respondents was selected using the Slovin formula. The research instrument was a Likert-scale questionnaire based on indicators from the Technology Acceptance Model (TAM) by Fred Davis and the Information Retrieval Model by David Ellis. The results indicate that the utilization of ChatGPT in information retrieval falls into the beneficial category, with an overall mean score of 3.18. The highest score was found in the ease of use indicator (3.40), followed by usefulness(3.20), attitude toward use (3.25), and perceived usefulness (3.12). Meanwhile, among the information retrieval indicators, verifying obtained the highest average score (3.52), while end scored the lowest (2.49). These findings demonstrate that ChatGPT assists students in identifying, verifying, and organizing academic information effectively, although sufficient information literacy skills are still required to ensure the accuracy of retrieved information. Overall, the utilization of ChatGPT has a positive influence on improving students’ information retrieval abilities and can serve as a supportive digital learning tool within academic environments.