The rapid advancement of digital transformation has accelerated the adoption of Artificial Intelligence (AI) in educational assessment, particularly in English proficiency testing. However, limited research has examined the factors shaping Vietnamese Gen Z’s purchase intention toward AI-enabled English testing solutions, despite the increasing demand for personalized and technology-driven learning tools among youth. To address this gap, this study investigates the determinants of purchase intention by integrating the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT).A quantitative research design was employed using survey data collected from 306 Vietnamese Gen Z respondents. Data were analyzed using SPSS, including reliability analysis (Cronbach’s Alpha), exploratory factor analysis (EFA), correlation analysis, and multiple regression techniques to examine the relationships among the proposed constructs.The findings indicate that all hypothesized factors significantly influence purchase intention. Perceived price exerts the strongest positive effect, followed by perceived ease of use and perceived usefulness. In contrast, perceived risk demonstrates a significant negative influence on purchase intention. The proposed model explains of the variance in purchase intention.This study contributes to youth-oriented technology adoption literature by extending TAM and UTAUT to the context of AI-enabled educational technologies among Vietnamese Gen Z. The findings also offer practical implications for platform providers in designing effective pricing strategies, improving system usability, and reducing perceived risks to enhance youth adoption of AI-based English testing solutions.