What the paper studied
The research examines outcomes of AI-assisted cross-cultural training (AI-CCT) for hospitality interns. Drawing on constructivist and transformative learning theory, the authors explore how perceived ease of use and internship length influence the training-to-career pathway. Data from 456 hospitality interns in China were analyzed with a moderated-mediation framework linking evaluation of AI-CCT, cultural intelligence, career curiosity, and career confidence.
Key findings
- Positive evaluation toward AI-CCT is positively associated with cultural intelligence.
- Cultural intelligence feeds into career-related outcomes through career curiosity and career confidence.
- Perceived ease of use and internship length both moderate the strength of the link between AI-CCT and downstream career outcomes.
Why it matters for hospitality
Hotel and tourism operators rely heavily on interns and early-career staff to deliver cross-cultural service. This study shows AI-based training tools can meaningfully build the cultural intelligence those roles require — but only when the tools feel easy to use and the internship gives enough runway for the training to pay off in confidence and curiosity about a hospitality career.
Practical takeaways
- Treat AI-CCT as a talent-development lever, not just a training-efficiency lever — cultural intelligence gains translate into career confidence and retention signals.
- Prioritize usability of AI training tools; if interns find them awkward, the downstream career benefits weaken.
- Give interns enough time in the program for AI-assisted learning to compound — very short placements dilute the effect.