AI in travel planning: when too much information undermines trust
In brief
- 28.8% of Australian travellers use generative AI for holiday planning, 30% among Gen Z.
- Reliability and accountability drive AI adoption, but excessive transparency reduces trust.
- Australia’s tourism sector is leveraging AI for discovery and booking, with a focus on progressive transparency.
A recent Australian study shows nearly 30% of travellers now use generative AI to plan their holidays, rising to 30% among Gen Z. According to government data, Australia recorded 12.3 million international trips in 2024–25, an 11.6% increase year-on-year.
Researchers identified five key factors driving AI adoption: reliability, accountability, trustworthiness, fairness and transparency. Travellers are more likely to delegate decisions to AI if it delivers accurate, consistent recommendations and providers take responsibility for potential errors. However, findings reveal a paradox: excessive transparency reduces trust, as detailed explanations add cognitive load to decision-making.
Australia’s tourism sector is already positioning AI as a central player in travel discovery and booking. Authors suggest a progressive transparency approach—sharing essential information first, then offering deeper insights on demand—to maintain tool efficiency without compromising reliability.
What it changes for you
- Travel & TourismTourism professionals must implement clear accountability mechanisms for AI-generated recommendations to reassure customers and prevent costly mistakes.
This summary gives you the essentials. The full article, its figures and quotes are on The Conversation : IA.
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