AI travel usage shifts with traveler spending tiers
A new study distributed via the Cornell Center for Hospitality Research examines how AI travel tools are woven into trip planning among Budget, Premium, Aspirational and Luxury travelers in the United States. Drawing on responses from 1,029 travelers, the research finds that artificial intelligence is most frequently deployed for early discovery tasks, especially when people look for activities and attractions.
The analysis shows clear contrasts by spending power. Premium and Luxury travelers use AI to sift options quickly, while Aspirational travelers lean on curated hotel suggestions. Budget travelers concentrate on value-oriented searches. Despite growing functionality, concerns over accuracy, opaque decision logic and generic-feeling guidance continue to suppress trust and broader adoption.
Barriers and opportunities for AI travel tools
Using an innovation resistance lens, the study highlights functional worries and psychological reservations, such as reduced human contact and privacy fears. The authors argue that understanding these segment-specific patterns can help tourism and hospitality providers design AI travel tools that match expectations while moving toward more personalized, hyper-segmented services.
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Photos Source: AI
