The corporate hotel RFP is going AI-native

A third of travel buyers used AI on hotel RFPs last cycle. Nearly seven in ten expect to next.

Jun 29, 2026

A third of corporate travel managers used AI during the last hotel request-for-proposals season. Heading into the next one, nearly seven in ten expect to. That jump is the signal worth watching, and it lands on a part of distribution hotels rarely think of as a battleground: the corporate rate negotiation.

Driving the news. A new Global Business Travel Association survey, run with Radisson Hotel Group and covering 258 travel managers across the U.S., Canada and Europe, found AI use in hotel RFPs set to climb from 32 percent last cycle to nearly 70 percent in the upcoming one (the 70 is what buyers expect to do, not yet what they've done). The report called the speed of that flip a market moving rapidly toward adoption.

Why it matters for hotels. The RFP is how a hotel's corporate rate gets shopped, compared and shortlisted. When the buyer's side of that process runs on AI, the property is being read by software before a human ever looks. Rate, program terms, content, compliance data — whatever a model can ingest and compare cleanly is what surfaces in the shortlist. The hotel that keeps its corporate data structured and machine-readable gets compared accurately. The one that doesn't gets compared badly, or missed.

The limit. AI isn't running the negotiation yet, and buyers are blunt about why. They flagged its weakness at weighing cost against compliance and traveler experience (62 percent), understanding what travelers actually need (60 percent), and connecting to existing RFP and TMC systems (55 percent). As the report put it, balancing competing priorities remains a human responsibility.

The pattern. It's the same shape now visible on the consumer side of travel. AI does the finding and the sorting; the person makes the call. On the leisure side an assistant shortlists hotels and the traveler books. On the corporate side AI shortlists rates and the travel manager decides. The machine handles the comparison. The judgment stays human, for now.

One more shift underneath. Corporate rate structures are moving in the same direction. Nearly half of buyers (49 percent) said they carry more dynamic rates than a year ago, while only 17 percent hold more static discounts and 25 percent hold fewer. Among large corporates, 90 percent now run a mix of fixed and dynamic. The negotiated rate is becoming less a fixed line in a contract and more a live figure a system reads in the moment — which is exactly the kind of input AI procurement is built to handle.

What it means. The corporate channel is automating its buying faster than the consumer channel is automating its booking, and it's doing it on the part hotels control: the quality and structure of the data they put into the process. A clean, current, machine-readable corporate profile is becoming the price of being shortlisted at all.

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