98% of Hoteliers Use AI Somewhere — Mews's Survey Shows Most Are Still Patching Gaps, Not Driving Revenue
Mews's March 2026 survey of 500+ hoteliers finds 98% use AI in some operational area, but a smaller leader tier — citing a 13.7% revenue uplift per square meter — uses it to drive revenue, not just patch gaps.
Mews surveyed more than 500 hoteliers in March 2026 and found 98% now use AI in at least one operational area, spread across an average of 11 of 19 tracked tasks — roughly 56% of total workload. Sentiment is high, with 92% optimistic about AI’s role. But the more useful finding is the split underneath those numbers: some properties use AI purely to patch operational gaps, while a smaller leader group — concentrated in upscale, luxury, urban, and airport hotels — uses it to actively drive revenue. Mews cites its own product data showing hotels running its revenue management system see a 13.7% revenue uplift per square meter, and separately notes 29% of Americans already use AI tools for travel research.
Named barriers to closing that gap: data accuracy concerns, privacy worries, and fragmented technology stacks that block integration between systems.
Radisson’s real-time AI price-matching rollout, live across all 1,575 of its properties, is a concrete example of what the revenue-driving tier looks like in practice. It replaced a manual rate-parity workflow — guests used to have to spot a lower third-party price themselves and file a claim for staff review — with automatic detection and instant matching against Booking.com, Expedia, and five other OTAs, no claim required. That’s the difference Mews is pointing at: AI eliminating a defined revenue-leak workflow at scale, not a chatbot bolted onto the booking page.
Mews lays out four priorities for closing the gap this year: auditing data infrastructure and API connectivity, optimizing for AI-powered search across ChatGPT, Perplexity, and Google AI Overviews, running pilots with defined success metrics, and establishing governance with named internal champions. The report closes on an expert prediction that 83% expect hybrid AI-human service models to be standard by 2035 — with luxury concierge roles staying human. For operators still in the patch-the-gap tier, that’s the actual deadline.
Source: Mews — What does AI-ready actually mean for your hotel in 2026? Auto-generated brief — verified before publishing.