AI is changing the gateway to travel distribution
Generative AI and agentic commerce are rapidly changing how travelers search for, compare and book travel products. Instead of moving between search bars and filters on multiple online travel agencies (OTAs), consumers can describe their budget, schedule and preferences to a conversational AI tool and use it to find suitable options.
However, as of July 2026, AI has not yet reached the point where it can independently book, pay for and manage every flight and accommodation product. Even when AI handles discovery and comparison, the actual sale, payment processing, changes and refunds are generally handled by a travel company or booking partner.
How far has AI travel booking come?
Travel services are moving into the chat window
When OpenAI unveiled the ChatGPT app ecosystem in October 2025, it named Booking.com and Expedia among its initial partners. The model allows users to call up travel services during a conversation and explore destinations or accommodation options using the context of the ongoing chat.
Expedia Group also said in a 2025 announcement that it was pursuing integration with OpenAI Operator and Microsoft Copilot Actions. The Hotels.com app now uses an AI agent that brings travel discovery, shopping and post-booking support together through a single conversational entry point.
Hotels are beginning to connect the journey from search to payment
According to Google’s travel help information, English-language users in the US can find hotel rooms offered by some booking partners in Google AI Mode and book them with Google Pay. They can review the room type and total price and complete payment without visiting a separate website.
The contracting party, however, is not Google but the business selling the product. That seller is also responsible for processing the payment, sending the confirmation email, and handling cancellations, changes and refunds. For flights, AI is increasingly able to interpret natural-language requirements and find options, but ticketing itself still often depends on the systems of airlines or OTAs.
How will travel distribution change?
AI recommendation lists will matter more than search results
In traditional travel distribution, search advertising and an online travel agency’s ranking had a major influence on sales. In the age of AI distribution, conversational agents interpret a user’s requirements and present a shortlist of options. That makes inclusion in an AI-generated recommendation list a new competitive battleground.
Travel companies will therefore need to provide accurate prices, remaining inventory, operating schedules, cancellation terms and ancillary-service information in a structured format that AI can read. Up-to-date data and reliable API connections are becoming digital distribution assets as important as search visibility once was.
OTAs are more likely to be reshaped than eliminated
Even if AI platforms control the first screen customers see, OTAs will still be needed for inventory aggregation, payments, customer authentication, fraud prevention, changes and refunds, and customer support. In the short term, the most likely model is a layered structure in which AI becomes a new distribution interface while OTAs, airlines and hotels handle the transaction and fulfillment.
If AI platforms take responsibility for bringing in customers, however, commissions and advertising costs, recommendation criteria and ownership of customer data could become new points of negotiation. OTAs and suppliers will need to manage not only competition across their own channels but also product visibility on major AI platforms.
Strategies travel companies need to prepare
Standardize real-time inventory and product information
If AI presents outdated prices or incomplete cancellation terms, consumer trust can erode quickly. Travel companies need to provide fares, taxes, baggage charges, room amenities and refund eligibility in consistent data formats, while ensuring that the final total does not change during the booking process.
Use in-house AI and external platforms at the same time
Large OTAs are using their own AI travel planners to keep customers within their platforms while also expanding connections with external AI channels such as ChatGPT and Google Search. Smaller travel agencies and hotels do not necessarily need to build every technology themselves; they can participate in AI distribution networks by using booking engines and channel-management systems.
Post-booking service will become a key competitive advantage
Unlike ordinary consumer products, travel bookings require complex after-sales management, including schedule changes, delays, no-shows and refunds. Even after AI recommends a product, who takes responsibility for the booking and resolves problems will be an important factor in choosing a brand.
In a survey of more than 5,700 adults in the US, UK and India conducted by Expedia Group in March 2026, 53% of respondents said they were comfortable accepting travel recommendations from AI, while 68% preferred to book with a travel brand they trusted over AI. The findings suggest that AI adoption and trust in a transaction remain separate issues.
Consumers need both convenience and verification
In a survey of 37,325 consumers across 33 markets conducted by Booking.com in April and May 2025, 89% said they wanted to use AI in their future travel planning. However, only 6% said they completely trusted AI, and just 12% were comfortable with AI making decisions independently.
Expedia Group’s 2026 survey also found that 8% of respondents in the US and UK relied on AI chatbots or agents when planning travel. The figures show that while interest in using AI is high, search engines, OTAs and familiar brands still hold considerable sway when it comes to actual bookings.
- Final payment amount: Check whether taxes, resort fees and baggage charges are included.
- Cancellation terms: Review the free-cancellation deadline and any nonrefundable conditions again on the seller’s page.
- Contracting party: Confirm whether the airline, hotel or OTA is responsible for handling changes or refund issues.
- Travel information: Recheck changeable details such as visa requirements, entry rules and operating times using official agencies and supplier information.
- Personal information: Check what information—including your email address, payment details and travel history—will be shared with AI systems and their partners.
The outlook for AI-driven travel distribution
The central story in AI-driven travel distribution is not simply the disappearance of OTAs but the movement of the customer touchpoint. Consumers are likely to interact with AI while travel companies operate behind the scenes, providing inventory, pricing, payment, booking fulfillment and customer support.
Future competitiveness will not be determined solely by who offers the largest inventory. Companies that combine accurate data AI can understand with transparent pricing, reliable booking operations and strong post-booking support are likely to be best positioned in the emerging travel-distribution landscape.
Frequently asked questions (FAQ)
Can I search for and book a hotel directly through AI?
In some markets and for participating products, yes. For example, English-language users in the US can search for some hotels in Google AI Mode and book them with Google Pay, but the booking partner handles the actual sale and post-booking support.
Will AI always find the lowest price for flights and hotels?
No. Prices and inventory change in real time, and AI does not have access to every airline or seller. Compare the recommendation with the final price shown by the airline or OTA.
Will OTAs disappear as AI travel booking becomes more widespread?
They are unlikely to disappear in the short term. OTAs provide inventory aggregation, payments, changes and refunds, and customer support, and may reposition themselves as booking partners for AI platforms.
What should travel companies prepare for in the age of AI distribution?
They should structure real-time pricing, inventory and cancellation terms, and secure APIs and booking systems that can connect with external AI platforms. Post-booking customer support and data reliability will also be critical.
What should I check first when booking a travel product recommended by AI?
First, confirm the total payment amount, cancellation terms and actual contracting party. For changeable information such as visa and entry requirements and baggage policies, it is safest to verify the details again using official sources.
