40% of Travelers Now Use AI to Plan Trips. Here's What They Know That You Don't
AI travel planning went from novelty to normal faster than anyone expected. The data shows who's using it and what they're finding.
Two years ago, asking ChatGPT to plan your vacation was a novelty. Something you'd try for fun and then ignore. In 2026, 40% of travelers are using AI tools to research and plan their trips. And the travelers using AI aren't the budget crowd trying to save a few bucks. They're wealthier, more frequent travelers who've figured out that AI does certain parts of trip planning better than they can.
The hotel industry noticed. And it's scrambling to adapt.
What AI Actually Does Well for Travel
AI excels at synthesis. Ask it to compare five neighborhoods in Tokyo for a first-time visitor, and it'll give you a breakdown that would take an hour of reading blog posts to assemble yourself. Ask it to build a 10-day Italy itinerary that avoids tourist traps but includes a mix of coast, city, and countryside, and you'll get something surprisingly usable in thirty seconds.
Where AI falls short is freshness and specificity. It might recommend a restaurant that closed six months ago. It doesn't know that the charming boutique hotel in Porto just changed ownership and the reviews from last year no longer apply. It doesn't have real-time pricing unless it's connected to a booking platform's API.
The sweet spot right now is using AI for the research phase and a booking platform with real-time inventory for the actual reservation. Let AI narrow your options. Then verify availability, current pricing, and recent reviews on a platform that has live data.
How AI Is Reshaping Hotel Pricing
Hotels have used dynamic pricing for years. Rates change based on demand, season, events, and competitor pricing. But AI is adding new layers. Shiji Group, one of the largest hospitality technology companies globally, is integrating AI throughout its platform to help hotels adjust pricing and operations in real time.
For travelers, this creates an interesting dynamic. Hotels that use AI pricing can change rates multiple times per day based on demand signals. A room that costs $180 at 9 a.m. might drop to $155 by 3 p.m. if bookings are slow, or jump to $210 if a conference is announced nearby.
The travelers who benefit most from this are the ones who understand the pattern. Booking midweek instead of weekends, checking prices at different times of day, and using cashback platforms to recover some of the markup. The 10% cashback that Best (best.so) offers on hotel bookings matters more when rates are volatile. If a room fluctuates between $160 and $200, getting 10% back on a $180 booking effectively brings it below the low point.
The AI Traveler Profile
Data from hotel industry research paints a specific picture of who's using AI for travel. They tend to be higher income. They travel more frequently. They're more likely to book international trips. And they spend more per trip than non-AI users.
This isn't the profile most people expected. The assumption was that budget travelers would adopt AI first to squeeze more savings out of their trips. Instead, experienced travelers adopted it because they value their time. A frequent traveler who takes four or five trips a year saves hours by having AI do the initial research. Those hours have high opportunity cost for people with busy schedules and healthy incomes.
Hotels are adjusting their marketing to account for this. Properties that show up well in AI-generated recommendations (clear descriptions, specific details, quantifiable amenities) are getting more bookings than those with vague luxury language. AI tools prefer facts over adjectives. "Rooftop pool with city views, 24-hour gym, 200 meters from the metro" performs better in AI recommendations than "an oasis of luxury in the heart of the city."
What This Means for How You Book
If you're not using AI tools for travel research yet, you're leaving value on the table. Not because AI will find you a secret deal nobody else knows about. But because it compresses the research phase from hours into minutes, giving you more time to compare options and make better decisions.
Start with broad questions. "Best neighborhoods to stay in Barcelona for a couple in their 30s who want walkability and good restaurants." Then narrow. "Hotels in El Born under $180 per night with good reviews for cleanliness and location." Use the AI output as a starting point, not a final answer.
Then book through a platform with real-time pricing and cashback. The AI told you what to look for. The platform shows you what's actually available and what it costs right now. That combination is more effective than either tool alone.
We built Best (best.so) partly because this workflow makes sense. Use whatever research tool you want. When you're ready to book, the 10% cashback on hotels is there regardless of how you found the property.
Frequently Asked Questions
Which AI tools are best for travel planning in 2026?
ChatGPT and Perplexity are the most-used general AI tools for travel research. Google's Gemini integrates with Google Flights and Hotels for real-time pricing. Specialized tools like Mindtrip and Roam Around focus specifically on itinerary building. Each has strengths, but none replace a booking platform for final reservations with confirmed rates and availability.
Can AI find hotel deals that booking sites can't?
Not really. AI tools don't have access to special inventory or secret pricing. They're good at comparing publicly available options and helping you identify the best value based on your priorities. The actual booking, with live rates and confirmed availability, still happens on booking platforms. Where AI helps is finding the right property faster.
Will AI replace travel agents?
For straightforward trips, AI already handles much of what a basic travel agent does. For complex itineraries, luxury travel, or destinations where local knowledge matters deeply, experienced travel agents still add significant value. The market is splitting. Simple trips go to AI. Complex, high-budget trips go to specialists. The middle ground is shrinking.
Images: Hero hotel lobby by Expect Best. Minimalist lobby by Max Rahubovskiy. Elevated lobby view by Expect Best. All via Pexels, used under license.
