The tourism industry is changing quickly thanks to artificial intelligence (AI). Nowadays, travellers can plan and enjoy their trips in exciting new ways, using AI for everything from finding the perfect destination to getting personalized recommendations. This study use Unified Theory of Acceptance and Use of Technology as research model. The survey comprises a total of 27 items, which cover nine specific areas of inquiry. These areas include performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, trust, risk, continuance intention. Participants were directed to express their responses using a Likert scale from 1 to 5, where 1 represented a significant disagreement and 5 represented a strong agreement.The amount of participants encompassed a sample size of 386 individuals, with a substantial representation from several regions, including Greater Jakarta, Central Java, East Java, West Java. The data will be analyzed using statistical software packages named SmartPLS.The result shown social influence, performance expectancy, facilitating conditions, price value, hedonic motivation, trust has positive impact on continuance usage intention, but effort expectancy and perceived risk are not impact on continuance usage intention.