1 month ago
AI Travel Itineraries Risk Filter Bubbles, Experts Warn
Travelers can use AI to quickly build vacation plans that match their tastes.
But if the AI only shows what they already like, it can keep them in a loop, missing new adventures.
Experts say the AI should also suggest surprising places.
Companies like EaseMyTrip and Agoda are adding tricks to keep plans fresh.
Travelers can even ask the AI for new ideas while on the trip, making travel both easy and exciting.
AI-driven travel itineraries offer speed and hyper-personalisation but risk creating filter bubbles.
Researchers warn that over-specialisation can trap users in predictable loops; serendipity metrics and ε‑greedy policies help balance exploration.
Travel platforms like EaseMyTrip and Agoda emphasize adding diversity and seasonal options to avoid narrowing choices.
68% of Indian travellers are expected to use AI for planning, according to Agoda’s 2026 Travel Outlook Report.
Conversational LLMs allow travelers to prompt AI for surprise suggestions and real‑time adjustments during trips.
- Who
- Travel platform CEOs and marketers, including Rikant Pittie of EaseMyTrip and Ahmer Khan of Agoda
- What
- AI-driven travel itinerary recommendation systems
- Where
- Global travel industry, with a focus on India
- When
- Current usage and projected 2026 outlook
- Why
- To balance personalization with discovery and avoid filter bubbles
Key facts
- Technology
- AI-driven recommendation systems
- Risk
- Filter bubble / over-specialisation
- Solution
- Serendipity metrics, ε-greedy policies
- Market share
- 68% of Indian travellers likely to use AI
- Companies
- EaseMyTrip, Agoda
Quotes
Rikant Pittie
CEO & Co-founder of EaseMyTrip
“"According to Agoda’s 2026 Travel Outlook Report, 68% of Indian travellers said they are likely to use AI for travel planning, and we are seeing this play out earlier in the journey, with travellers using AI not just to book, but to explore where to go, compare options and shape fuller itineraries."”
CNBC TV 18
“"Personalisation should never become a filter that limits discovery. While past preferences help make recommendations more relevant, travel is fundamentally about exploration."”
CNBC TV 18








