Thursday, October 8, 2026
Advertisement

89% of guests want AI working behind the scenes, not running the front desk, Mews finds

Global survey of 3,250 travelers shows guests aren’t rejecting AI – they're drawing a clear line between where it belongs and where they still want a person.

[New York – 7 October 2026] – New survey data released today by Mews, the operating system for hospitality, shows that as AI adoption in hotels accelerates, guest expectations are moving the opposite way – 89% of guests want either a hybrid stay blending AI and human service, or AI operating quietly in the background on repetitive tasks. Almost none want an AI-led stay.

59% of guests believe that AI should take over repetitive tasks, so hoteliers can instead focus on building trust with their guests. At a time when AI adoption in hotels has never moved faster, guests have never been clearer that they still want a human at the center of the stay – not at every point in it.

Attitudes toward AI during a stay: human connection is still important

That preference for a hybrid stay comes from somewhere specific: guests still want a human present. Even for the most automatable task tested – arranging taxis – 44% of guests chose a human over 28% who chose AI. The gap narrows as tasks get more transactional – room service orders come close to an even split (50% human vs. 23% AI) – then widens sharply wherever judgement, personalization or trust is involved: bar & restaurant service (72% prefer a human), front desk welcome (66%), and check-in & key (58%).

The pattern isn’t an argument against automation – it’s a guide to where it belongs. 75% of guests say good hospitality depends on human staff regardless of the technology behind it, which is exactly why hotels that unify guest data across every system are best positioned to use AI well: freeing staff from the admin and fragmentation that keep them at a screen instead of with a guest.

human vs ai preference hotels

 

What this means for hotels: Automate the mundane, not the moments

This data shows that opportunity isn’t in building AI-first experiences; it’s in automating the mundane, so staff have more time for the moments that need a person. That means automated check-in and check-out, AI-driven upsells and room personalization, and real-time translation and guest messaging that handle routine questions instantly, plus the behind-the-scenes work (i.e. pricing, housekeeping coordination, reporting) that guests never see but that otherwise pull staff away from being in front of them.

“Guests are telling us exactly where they want AI and where they don’t,” said Richard Valtr, Founder of Mews. “The hotels that win this next decade won’t be the ones that automate the most. They’ll be the ones whose systems are unified enough that AI can actually deliver a new way of operating, and where staff can get back to providing a genuine human experience.”

Travelers aren’t rejecting AI outright; they’re rejecting AI they can’t see or control. The hotels that get this right won’t be the ones automating the most, but the ones choosing carefully where automation belongs and leaving people everywhere else. The same goes for jobs: 67% of guests would worry about staff losing their jobs to AI, and 51% disagree that they wouldn’t care if a hotel cut staff to adopt it.

ai in hotels

 

This survey took place in July 2026 and covered 3,250 travelers across France, Germany, Italy, the Netherlands, Spain, Sweden, the UK and the US.

Mews
Mewshttps://www.mews.com/en
Mews is the leading platform for the new era of hospitality. Powering over 3,500 properties across more than 80 countries, Mews Hospitality Cloud is designed to streamline operations for modern hoteliers, transform the guest experience and create more profitable businesses.

Related Posts

Upcoming Events

Advertisement

Popular Now

More like this
FURTHER READING

89% of guests want AI working behind the scenes, not running the front desk, Mews finds

- New survey data released today by Mews,...

8 Best Revenue Management Strategies for Hotels

When you hear “perishable inventory,” your first thought might...

AI Hotel Recommendations are Noisy, But Not Random

Fifteen times over a month, we asked five AI...