The AI found the hotel. Someone else got paid.

Two numbers came out of Adobe's analytics this summer, and they point in opposite directions.

On Prime Day, shoppers who arrived at retail sites from AI assistants were 40% more likely to buy than shoppers arriving from search, email, or social. The machine out-converted every human channel.

In travel, measured the same way by the same firm, visitors referred by AI assistants convert 28% less than average.

Same technology. Same year. Same yardstick. Opposite results. The gap between those two numbers is one of the most useful things a consumer leader can study right now, because it shows exactly where the money moves when AI starts doing the shopping.

A booking, step by step

Watch what actually happens in travel.

A traveler asks ChatGPT for a quiet hotel near Lisbon's old town, good for a couple, under 300 euros a night. The assistant suggests a boutique property. Fifteen rooms, family run, exactly right.

Now comes the part that decides who gets paid. The traveler does not book. They open Google and type in the hotel's name. Adobe found 62% of consumers do exactly this, a quick double-check, before spending money on an AI recommendation. The search returns the hotel's own website, and above it a Booking.com listing with the familiar blue branding, four thousand reviews, and free cancellation.

The stay gets booked on Booking.com. The hotel pays the platform a commission, typically 15 to 25 percent of the room revenue.

Here is the uncomfortable part. That hotel did everything the industry is telling it to do. It rebuilt its website so AI systems could read it: structured room descriptions, machine-readable rates and availability. That work is the reason the assistant found it and recommended it. The hotel funded the discovery. An intermediary collected the sale.

Trust starts decisions. It does not finish them.

Adobe's travel data explains why this keeps happening.

Visitors who arrive at travel sites from an AI assistant stay 70% longer and leave 41% less often than average visitors. They show up nearly decided, because the assistant already did the comparing. And they still convert 28% less.

The explanation is not technology. It is trust. People trust AI enough to start a decision, not enough to finish one. A phone charger, fine. A two thousand dollar anniversary trip, no. So between the recommendation and the payment, travelers insert the double-check. And that double-check runs through the places they already trust with their money: Google, the big booking platforms, review sites.

That is the first thing worth writing down. In any category where the purchase feels risky, the AI recommendation does not end the customer journey. It starts a second step where the buyer looks for reassurance. Whoever owns that step, the moment trust finally completes, is who gets paid.

One more detail matters. In late 2024 that travel conversion gap was 86%. It is now 28%. Consumers are learning to trust machine recommendations, fast. The open question is who that maturing trust will belong to when it arrives.

The incumbents are not confused. They designed this.

The two companies that dominate online travel bookings are Booking Holdings and Expedia Group. They are the largest online travel agencies in the world, the middlemen who sell other companies' hotel rooms and flights and keep a cut of each sale. Both have told investors exactly how they see the AI shift playing out.

On an April earnings call, Booking Holdings CEO Glenn Fogel said the company is working with OpenAI, Google and other AI providers so that Booking's inventory shows up wherever a traveler starts their journey. In early May, Expedia CEO Ariane Gorin went further. AI, she said, can be a powerful discovery layer, but the actual booking is best handled by a trusted, scaled provider. She meant Expedia. She added that if AI discovery evolves into a paid advertising space, that is a game Expedia knows well.

Then Expedia did something worth pausing on. At its partner conference in May, it announced that it will let any other company plug its own AI travel assistant directly into Expedia's rooms, flights, and payment system. Read that carefully. Whoever builds the travel assistant of the future, Expedia is offering to be the invisible checkout inside it. Both Booking and Expedia are already bookable through ChatGPT.

None of this is a reaction to AI. It is a position, taken early, by companies that have seen this movie before. Which brings us to the history.

We have seen this movie

In the 2010s, hotels learned an expensive lesson about Google. Showing up on page one was not a strategy, because the space above the search results was sold to the highest bidder, and the highest bidder was usually an online travel agency spending billions on marketing. A guest would search for a hotel by name and still end up booking through a middleman. The hotel created the demand. The platform taxed the transaction.

Twenty years of that spending built the online travel agencies something durable: brand recognition, deep review libraries, content everywhere on the web. And here is the quiet advantage, that asset base transferred straight into the AI era without any new investment. AI models recommend what they have read the most about. The companies with two decades of accumulated web presence score highest on exactly the signals the models reward.

The distribution war of the 2010s is not being disrupted by AI. It is being re-run, one layer up, at machine speed, with the same teams already holding the strong positions.

Why retail flipped and travel did not

So why did the same AI traffic become the best-converting channel in retail and the worst in travel?

Because of where the sale actually closes. In retail, the assistant hands the shopper to a store's checkout, the purchase is small, and the sale completes right where the shopper lands. The store that got discovered is the store that gets paid. In travel, the purchase is expensive and emotional, the double-check kicks in, and the sale migrates to whichever platform holds the most consumer trust. The business that got discovered watches the sale complete somewhere else.

That is the rule hiding inside Adobe's two numbers. The higher the stakes of your product, the more the AI era rewards whoever owns trust at the moment of payment, not visibility at the moment of discovery.

This is not a travel story

Every consumer business is currently being told to get AI ready. Clean product data, structured attributes, content a machine can parse. Do that work. A product an AI cannot read does not exist in that channel. That is the argument I made in The Agent Channel: the terms of the new shelf are set by whoever the machine buys through.

But being readable is not a strategy. It makes you visible inside a funnel, and the real question is who owns the bottom of it. A packaged-goods brand optimizing its product content for AI assistants should ask where the resulting purchase actually closes: on a marketplace that keeps the margin and the customer data, or somewhere the brand controls. An airline watching assistants compare fares should ask who completes the ticket. The hotel industry is simply the first to see the full shape of the trap, because it has walked into a version of it once before.

The destination decision

AI has solved the finding problem. It can locate the product, compare the price, and walk the customer to the edge of the purchase. What it has not decided, what it cannot decide, is where the sale is allowed to close and on whose terms. That is the Destination Problem, and in most consumer companies it is currently being made by default, while the teams work through the AI-readiness checklist.

The two largest middlemen in travel have already told the market, plainly and in public, which end of the sale they intend to own. The discovery race is real and everyone has to run it. But the race pays out at the close. That is where the next set of winners is being decided, right now.

Read next: The Destination Problem (the cornerstone thesis) · The Agent Channel · Both sides of shopping just went commodity