The rapid advancement of Artificial Intelligence (AI) technology has revolutionized various industries, including digital education. This study investigates the moderating role of AI tool availability in the relationship between learners' expectancy constructs and their value construction on enrollment intention for online courses. Grounded in Expectancy Theory and the Value Construction Model, the research focuses on how AI tools influence learners’ self-efficacy, perceived ease of use, career development expectancy, perceived usefulness, certification achievement, and course relevance. Using a quantitative research approach, this study collected data from online course participants through a structured survey and analyzed it using Structural Equation Modeling (SEM). The results indicate that the availability of AI tools significantly enhances learners' expectations and perceived value, thus promoting their intention to enroll. Personalized learning paths, real-time feedback, and intelligent content recommendations were identified as key AI features contributing to these effects. Additionally, the findings reveal that learners with different educational backgrounds, technical proficiencies, and career aspirations exhibit varying degrees of responsiveness to AI tools.