This study explores the factors influencing the acceptance and utilization of ChatGPT among university students in Indonesia. The research employs a quantitative approach, using a questionnaire adapted from the Unified Theory of Acceptance and Use of Technology (UTAUT) model, and analyzes the data through Structural Equation Modeling (SEM). The findings reveal significant relationships between Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions with Behavioral Intention and User Behavior concerning ChatGPT. These results highlight the importance of higher education institutions in formulating strategies for AI technology integration, focusing on psychosocial factors that influence student acceptance and usage. The study provides valuable insights for educational practitioners and AI technology developers to enhance the adoption of ChatGPT in higher education environments. Future research could delve deeper into contextual factors that impact the adoption of AI technologies, contributing further to this evolving field.This study explores the factors influencing the acceptance and utilization of ChatGPT among university students in Indonesia. The research employs a quantitative approach, using a questionnaire adapted from the Unified Theory of Acceptance and Use of Technology (UTAUT) model, and analyzes the data through Structural Equation Modeling (SEM). The findings reveal significant relationships between Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions with Behavioral Intention and User Behavior concerning ChatGPT. These results highlight the importance of higher education institutions in formulating strategies for AI technology integration, focusing on psychosocial factors that influence student acceptance and usage. The study provides valuable insights for educational practitioners and AI technology developers to enhance the adoption of ChatGPT in higher education environments. Future research could delve deeper into contextual factors that impact the adoption of AI technologies, contributing further to this evolving field.