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  6. An Examination of AI in Travel Planning Across Traveler Spending Segments

An Examination of AI in Travel Planning Across Traveler Spending Segments

File(s)
An Examination of AI Adoption in Travel Planning Across Traveler Spending Segmentsrev.pdf (1.55 MB)
Permanent Link(s)
https://hdl.handle.net/1813/120487
Collections
Center for Hospitality Research Reports
Author
Jang, Young
Anderson, Christopher
Abstract

This study explores how travelers use artificial intelligence (AI) for travel planning across four spending segments: Budget, Premium, Aspirational, and Luxury. Based on a survey of 1,029 U.S. travelers, the analysis shows that AI is most widely used for discovery tasks, particularly identifying activities and attractions. However, adoption varies by segment when AI is used for budgeting or validating travel decisions. Premium and Luxury travelers tend to use AI to quickly evaluate options, Aspirational travelers rely on it for curated hotel recommendations, and Budget travelers use it primarily to identify value. Across all segments, concerns about accuracy, transparency, and generic recommendations continue to limit broader trust and adoption.

Date Issued
2026-03-25
Keywords
AI
•
trip planning
•
traveler segmentation
•
budgeting
•
trust
Rights
Attribution 4.0 International
Rights URI
http://creativecommons.org/licenses/by/4.0/
Type
article

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