Not One Size Fits All: How Travelers Are Actually Using AI to Plan Trips — Cornell Research
Cornell survey of 1,029 U.S. travelers finds AI ranks 4th in travel planning tools, with accuracy concerns cited by 60%+ as the top barrier, and adoption motivations varying sharply across Budget, Premium, Aspirational, and Luxury segments.
Photo by Cornell
This Cornell Center for Hospitality Research report synthesizes "An Examination of AI in Travel Planning Across Traveler Spending Segments," a study conducted by Cornell's Center for Hospitality Research. Authored by Young Jang and Christopher Anderson, it surveyed 1,029 U.S. travelers across four spending segments—Budget, Premium, Aspirational, and Luxury—to examine how artificial intelligence is reshaping the travel planning process, not only how travelers discover destinations, but how they evaluate options, validate decisions, and ultimately book. The central message is that AI's value proposition in travel is not universal: motivations for adoption and the conditions required for trust differ meaningfully across segments, and hospitality organizations that treat AI as a single-channel solution will underperform those that design for segment-specific needs.
The study surfaced several interlocking realities. AI currently ranks fourth among travel planning tools, behind search engines, review websites, and official hotel websites—a position that reflects genuine promise but also real limitations. Across all segments, concern about the accuracy of AI-generated information is the single greatest barrier to adoption, cited by more than 60% of respondents, with lack of transparency and overly generic recommendations each cited by more than 40%. Budget travelers use AI primarily as a value-identification and cost-comparison tool, while Premium travelers deploy it as a discovery engine to maximize trip quality. Aspirational travelers treat it as a curation assistant for personalized, high-quality experiences, and Luxury travelers present a paradox: they are comfortable using AI for rapid fact-based research but strongly prefer human advisors for the final orchestration of complex, high-touch trips. The overarching conclusion is that the future of AI in travel planning is not about replacing existing planning behaviors—it is about enhancing them through tools designed around the distinct expectations of each traveler segment.
8 Key Takeaways
AI adoption in travel planning is real but not yet dominant. Across all four spending segments, AI chatbots and assistants rank fourth among the most commonly used travel planning tools, behind search engines, review websites, and official hotel websites—indicating strong potential but a trust gap that still needs to be closed.
The value proposition of AI is segment-dependent, not universal. Budget, Premium, Aspirational, and Luxury travelers each use AI differently and for different reasons; a one-size-fits-all approach to AI tool design will fail to meet the distinct needs of any segment effectively.
Accuracy is the universal barrier to broader adoption. Concern about the correctness of AI-generated information is cited by more than 60% of respondents across all segments, making it the single greatest obstacle to trust—ahead of transparency, personalization, and privacy concerns.
Budget travelers use AI as a value and efficiency tool. Their primary motivation is cost comparison and simplified itinerary planning; they build trust through transparent source citations and real-time price verification rather than through personalization or experience curation.
Premium travelers use AI as a discovery engine. They leverage AI for high-volume information retrieval and attraction identification, using it to vet options and ensure strong value for money rather than simply to locate the lowest price.
Aspirational travelers use AI as a curation assistant. They are the segment most reliant on AI for hotel recommendations, treating it as a quality filter for properties that meet elevated standards of location and amenities—and their adoption is contingent on assurances of privacy and data security.
Luxury travelers want AI as an enabler, not a replacement. They are comfortable with AI for rapid, fact-based research and back-end logistics, but strongly prefer human advisors for the final orchestration of complex trips—making AI most effective in this segment when it augments rather than replaces human expertise.
The path forward is segment-aligned AI design, not broader AI rollout. Replacing generic AI interfaces with prescriptive, segment-specific tools—value-first for Budget, discovery-oriented for Premium, curation-focused for Aspirational, and advisor-augmenting for Luxury—is what will move AI from a risky novelty to a trusted conversion partner.
About the Cornell Nolan School of Hotel Administration
The Cornell Peter and Stephanie Nolan School of Hotel Administration is the premier school for hospitality education in the world. As an integral part of the Cornell SC Johnson College of Business, the school is leading the world in teaching and researching the business of hospitality—marketing, finance, real estate, operations, and more, all applied to the world’s largest and most exciting industry. Top faculty, industry leaders, alumni, and students work together to generate new knowledge for the hospitality industry and form the premier network that shapes the industry every day.