The RMIT study finds that generative AI enhances personalisation of travel plans, speed and convenience of decision-making, and access to information across languages and contexts.
RMIT Lecturer in Business and Technology Dr Timothy McBush Hiele said these capabilities are particularly appealing to younger travellers. “Gen Z expects instant, personalised, and seamless experiences. AI aligns perfectly with these expectations, making it a natural fit for travel planning,” he said.
Trust remains key
Despite the benefits of AI, the research highlights that trust, privacy, and accuracy remain critical concerns. Travellers may rely on AI for convenience, but they are still cautious about misinformation and data use.
The risk of misinformation has important implications for tourism operators. When AI-generated advice proves inaccurate, such as outdated opening hours or misleading descriptions, travellers may not blame the tool itself. Even if the recommendation came from AI, disappointment may be directed at the business or destination.
“Trust is the key factor that determines whether travellers continue using AI tools. When AI recommendations feel unreliable, the gap between traveller expectations and real experiences becomes much harder to manage,” said Dr Stanley Teck Lee Yap, Associate Program Manager of the Undergraduate Business Programs at RMIT Vietnam.
What tourism businesses can do
For tourism and hospitality professionals, the rise of AI-driven planning does not require abandoning existing channels, but it does demand adaptation.
First, information clarity, trust, and transparency are critical. AI systems rely on consistent, up‑to‑date content when generating summaries. If tourism companies use conflicting descriptions, outdated policies, or vague marketing language, it will increase the risk of misrepresentation.
Second, businesses should expect AI‑informed customers. Travellers may arrive with itineraries or expectations shaped by AI tools, and staff need to be prepared to engage with those assumptions constructively.
Third, designing for adoption matters. As both acceptance and resistance to AI coexist, firms should embed guidance, such as prompts, comparisons, and trial features, to support informed and confident decision-making.
Finally, distinctiveness matters more than ever. Experiences that are clearly explained, culturally grounded, and locally specific are more likely to survive AI’s tendency to flatten choice.
“AI is now part of how travellers make sense of the world,” Dr Halibas said. “What tourism businesses must now consider is how clear, accurate, guided, and distinctive their offerings are within that process.”