60%
AI use for researching attractions, restaurants and transport
60% of AI users research attractions, restaurants and transport options with it — the most common travel task in the Sojern study.
The specific jobs travellers hand to an assistant, before, during and after a trip.
Adoption statistics flatten a behaviour that is actually quite specific. Travellers do not use AI for "travel" — they use it for restaurant shortlists, price comparison, itinerary assembly and, once they have landed, translation and navigation.
The pattern is consistent across surveys: AI is strongest where the task is synthesis across many sources, and weakest where the task is a transaction. Comparing attractions beats comparing flights. Building an itinerary beats booking one.
For anyone producing travel content, the task list is a content brief. The questions below are the ones a model will be asked to answer on your behalf.
Sojern · April 2026 · United States
Sojern · April 2026 · United States
Booking.com · April–May 2025 · Global (33 markets)
Sojern · April 2026 · United States
Booking.com · April–May 2025 · Global (33 markets)
Booking.com · April–May 2025 · Global (33 markets)
Booking.com · April–May 2025 · Global (33 markets)
60%
60% of AI users research attractions, restaurants and transport options with it — the most common travel task in the Sojern study.
56%
56% of AI users compare prices with it, though only 32% use it to compare flights and hotels specifically.
45%
40%navigationTranslation leads in-trip use at 45%, followed by activity suggestions at 44% and navigation at 40%.
43%
43% of AI users build and organise itineraries with it; 42% use it to research itineraries.
38%
38% use AI for destination research, 37% for local experiences and 36% for restaurant recommendations.
37%
37% of AI users research local experiences with it before travelling.
36%
36% of AI users ask it for restaurant recommendations before travelling.