hoteltech.news October 1, 2026
Artificial Intelligence1 min read

AI in hotels: 91% use it, only 28% have a real plan

Voice reading · ~2 min

The new h2c report lands with one of those numbers that says a lot without saying everything. Out of 113 hotel chains surveyed for 2026, 91% already use AI in some form. Read that again. Near total penetration. The interesting bit is not the 91. It is the 28% that has a company-wide strategy behind it, according to the study shared by Hospitality Net. So most chains are dabbling, and a minority are actually building something coherent.

The barriers h2c flags are the usual suspects, and none of them are exotic. Skills gaps inside the organisation, and integration challenges with the existing stack. Translation: the AI tools show up, the team does not quite know what to do with them, and nobody wired them into the PMS, the CRS, or the revenue system. That is where the gap lives. Not in the tools.

My read as an editor: this is actually good news wearing a slightly awkward outfit. A 91% adoption rate tells you the sector has stopped debating whether AI belongs in hospitality. It is there. The task now is the boring, valuable middle. Pick two use cases, put a real owner on them, connect them to the systems that move money, and measure. My bet is the chains that do that in the next 18 months will be the ones everyone else is copying at HITEC 2027.

Quick questions

What does the h2c 2026 study say about AI adoption in hotel chains?
The study surveyed 113 hotel chains and found 91% use AI in some form, but only 28% have a company-wide strategy for it. Adoption is near universal, enterprise readiness is not.
Why do so few hotel chains scale AI beyond pilots?
h2c points to skills gaps inside teams and integration challenges with existing systems as the top barriers. Tools arrive faster than the organisation can absorb them.
Is the h2c AI study representative of the whole hotel sector?
It covers 113 hotel chains, so it speaks to chain-level operations rather than independents. Still, the pattern of high adoption and low strategy is worth watching for any operator.
What should a hotel chain do first to fix its AI strategy?
Focus on a small number of use cases with clear owners, and connect them to systems that already move revenue like the PMS or CRS. Coherence beats another pilot.
Does high AI adoption in hoteles mean the technology is already proven?
Not quite. 91% adoption tells us the tools are accepted, but the 28% with a strategy shows the sector is still early on real deployment. Acceptance and readiness are two different things.

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