Guests would hand the rate watch to AI
A Mews survey of 3,250 travellers found that 63 per cent would use AI to monitor room-rate price drops and 56 per cent would use it for real-time translation. Itinerary planning drew 44 per cent and room personalisation drew 41 per cent.
The release states the control finding as “57% would rather stay in control of their trip than hand decisions to an AI acting on their behalf”.
Mews, the hospitality operating system vendor, published the survey on 15 October 2026 with a New York dateline.
The tasks guests hand over, and the tasks they keep
The release frames the result as one question about whether a task is a chore or a choice. Mews places a price alert and a translation on the chore side, where accuracy and speed decide the answer. It places an itinerary and a room setup on the choice side, and reads the 57 per cent control figure as the guest answer there.
Which data guests allow AI to read
Travellers were more comfortable with AI drawing on data they knowingly shared with a hotel. Stated preferences drew 61 per cent and past stay history drew 56 per cent. Data collected about them drew less: online behaviour at 43 per cent and external and social data at 34 per cent.
Mews reports comfort with shared data at its most concentrated in the United States, where 63 per cent are happy for AI to draw on past stay history. Spain is the market the release ties to transparency, at 72 per cent more willing to use AI-enabled services with transparency and control over their data.
Where the eight markets separate
The panel covered France, Germany, Italy, the Netherlands, Spain, Sweden, the United Kingdom and the United States, with fieldwork in July 2026.
United Kingdom travellers were the least likely to rate personalisation during a stay as important, at 30 per cent against a 40 per cent average. Italian travellers were the most likely to expect check-in with no front desk at all, at 58 per cent against a 42 per cent average. Italian travellers also led on optimism about AI five years from now, at 51 per cent against a 39 per cent average, and Mews calls that market the only one significantly above the sample. Spain drew 58 per cent for the most positive attitude to AI, and the release names Italy and Spain as the only two markets significantly more positive than the rest.
Josef Starýchfojtů, chief product and technology officer at Mews, said guests have told the company where AI helps. “Having clever technology is great, but firstly, we should know whether guests want a task done for them or want to be part of it. Get that wrong and even good AI feels intrusive,” he said.
The issuer’s earlier release on the same panel
Mews published a first set from the same July 2026 panel of 3,250 travellers on 7 October 2026. That release put 89 per cent wanting either a balanced mix of AI and human-led hospitality or AI working behind the scenes on repetitive tasks. 75 per cent said good hospitality depends on human staff, and 59 per cent said AI should take over repetitive tasks so staff can build rapport with guests.
Guests preferred a human at all nine touchpoints the earlier release tested. Bar and restaurant service drew 72 per cent for a person, the front desk welcome 66 per cent, check-in and key 58 per cent, room service orders 50 per cent against 23 per cent for AI, and arranging taxis 44 per cent against 28 per cent. The same release put job worries at 67 per cent and recorded 51 per cent disagreeing that they would not care if a hotel cut staff to adopt the technology.
Both releases are vendor first-party. Mews publishes the percentages without a public dataset and without a margin of error.
What the rate answer means for revenue
Rate monitoring drew the top figure on the panel at 63 per cent, and it is the one commercial task in the set that travellers will hand to a machine. The personalisation questions drew lower readings. Forty-one per cent would use AI to personalise the room. Sixty-one per cent will let AI read stated preferences, and 56 per cent their past stay history.
The day-use lines the release does not carry
The release states no hourly rate, no daytime window and no part-day revenue figure. None of the percentages describes a day-room buyer.
A day-room sale is bought on a named window and a price. The rate-monitoring reading sits on the overnight rate the guest watches.
The San Francisco day-use shelf
Dayuse’s San Francisco page carried 20 cards on 16 October 2026, nine of them inside the city. Day rates on those nine ran from $91 to $159, with an average of $128.
The nine city hotels sit in Yerba Buena, Union Square, Chinatown, Lower Nob Hill, Fisherman’s Wharf and on Union Street.
Where the vendor puts the work
Mews directs hotels to place AI on price tracking, translation and instant communication. The release tells hoteliers to build personal touches from what guests state directly at booking and to choose carefully where automation goes.
The company states its platform spans PMS, POS, RMS, housekeeping and payments, and reports 15,000 customers across 85 countries.