The rapid integration of artificial intelligence (AI) into social media platforms has fundamentally transformed how travelers discover, evaluate, and plan their journeys. This study investigates the influence of AI-generated social media content on the future trip-planning behavioral intentions of frequent travelers, drawing on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) as its theoretical foundation. Five key constructs were examined: Perceived Credibility, Perceived Usefulness, Perceived Ease of Use, Social Influence, and Digital Literacy, with Behavioral Intention serving as the dependent variable. A quantitative research design was employed, and primary data were collected from 150 respondents through a structured online questionnaire distributed via Google Forms. Data analysis was conducted using a multi-stage approach comprising descriptive statistics, Cronbach's Alpha reliability analysis, Pearson correlation analysis, multiple linear regression (OLS), one-way ANOVA, Kruskal-Wallis, and Mann-Whitney U tests. All five research hypotheses were supported. The integrated regression model explained 76.5% of the variance in Behavioral Intention (R² = 0.765, Adjusted R² = 0.756), demonstrating exceptional predictive validity. Perceived Usefulness (β = 0.530) and Perceived Ease of Use (β = 0.382) emerged as the dominant drivers of trip-planning intention. Demographic analyses revealed that travelers aged 35–54 exhibited the highest behavioral intention a counterintuitive finding that challenges assumptions of digital nativity. No significant gender differences were observed. Binary response items further confirmed that 84.2% of respondents found AI travel content useful for destination identification, and 79.5% indicated willingness to recommend it to others. The study concludes that AI-generated social media content now functions as a substantive, trusted, and influential input in travelers' decision-making processes, with significant implications for tourism marketers, platform designers, and destination marketing organizations.
T.J et al. (2026) studied this question.