Search Slips, AI Surges: Travel's New Front Door?
At a glance
- Nearly 40% of U.S. travellers used generative AI tools for trip planning in 2025, representing an 11-point year-on-year increase.
- Millennials lead AI adoption, using it to filter information overload while relying on friends, family and reviews for final validation.
- AI-using travellers are younger, wealthier and more frequent bookers who spend significantly more and blend digital and human touchpoints.
- Generative AI is reshaping how inspiration and purchase intent converge, challenging traditional search and review-based discovery methods.
What the report covers
Phocuswright's report examines how U.S. and Canadian travellers integrate generative AI into trip planning and booking, analysing adoption rates across demographics, trust levels, decision-making processes and spending patterns. Published November 2025, the research covers airlines, hotels, car rental, online travel agencies and short-term rentals. The study addresses demographic drivers of AI adoption, its impact on traditional search and review platforms, and the characteristics defining the emerging 'AI traveller' segment.
Key findings
Nearly 40% of U.S. travellers used generative AI tools to plan trips in 2025, according to the report. This represents an 11-point increase in a single year, signalling rapid mainstream adoption of AI-powered trip planning. The finding positions generative AI as a significant new distribution channel competing with traditional search engines and review platforms.
Millennials lead adoption of AI-powered trip planning, according to Phocuswright. This demographic segment uses AI primarily to navigate information overload and streamline research. However, these travellers maintain scepticism towards AI outputs alone, turning to peer recommendations, family input and review sites for final booking validation, indicating partial rather than wholesale reliance on AI.
AI-adopting travellers differ substantially from non-adopters in age, wealth and behaviour, the report finds. AI users are younger, wealthier and travel more frequently than the overall population. Critically, they spend significantly more and employ both digital and human touchpoints in their decision journey, suggesting AI complements rather than replaces traditional research methods.
Generative AI is reshaping the travel discovery funnel, with implications for how destination choice, hotel selection and other decisions form, according to the report. As AI gains ground on traditional search engines, the convergence of inspiration and purchase intent is shifting. This signals a fundamental change in how travellers move from wanderlust to booking.
Key numbers
| Metric | Value |
|---|---|
| U.S. travellers using generative AI tools for trip planning | nearly 40% |
| Year-on-year increase in AI tool adoption for trip planning | 11 percentage points |
Figures as published in the source; forecasts and survey results are labelled as such in the note.
Why it matters
DMOs & destinations
Destination marketing organisations must adapt discovery strategies as nearly 40% of U.S. travellers now use AI for inspiration and research. DMOs risk losing visibility if content is not optimised for AI training datasets and retrieval systems. Shifting from search-engine-optimisation to AI-prompt-optimisation and ensuring accurate, rich destination data feeds AI models will be critical to capturing demand.
Hotels & hospitality
AI-using travellers spend significantly more than non-adopters, making this segment high-value. However, these guests conduct hybrid research—using AI for filtering but cross-checking with reviews and peer input. Hotels must ensure presence and accuracy across both AI platforms and traditional review sites, and prepare customer service for guests who arrive with AI-curated expectations.
Travel tech & distribution
The report indicates traditional search and review platforms face pressure as generative AI becomes travel's 'new front door.' OTAs, metasearch engines and booking platforms must embed or integrate AI capabilities to remain competitive. Those failing to position themselves in AI workflows risk losing discovery share to pure-play AI travel assistants and LLM-based planning tools.
Methodology and limits
This brief is based on Phocuswright's publicly available summary only; the full report content is not accessible in the source text provided. The summary indicates the research is a consumer survey examining U.S. traveller integration of generative AI into trip planning and booking. Specific sample size, sampling methodology, survey period and statistical confidence levels are not disclosed in the available abstract. The 40% adoption figure and 11-point year-on-year increase are presented as observed survey results.
Official source
The report is © Phocuswright. This brief is an original editorial summary by TourismIntel — it quotes only figures published in the source and never reproduces the document.
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