Half of Hotels Use AI to Price Rooms; Only 1 in 10 Trusts It Fully

More than half of hotels now use artificial intelligence to price their rooms, according to a survey by RoomPriceGenie, a hotel revenue-management software vendor. Yet only one in ten would rely on it for most pricing decisions.

The gap is the story. Operators have bought the tool. They have not bought the autonomy.

What does the survey actually show?

RoomPriceGenie, which supplies automated pricing tools to independent hotels, polled operators on how AI fits into their revenue workflow. The headline split: majority adoption, minority trust.

For context: AI-driven revenue management (software that adjusts room rates automatically based on demand, occupancy and competitor data) was once the preserve of large chains with dedicated pricing teams. The survey suggests independent and mid-size properties have now adopted some form of it — over 50% of respondents.

But the confidence figure, roughly 10%, signals that most hotels still want a human hand on the rate. AI advises. The revenue manager decides. That division of labor appears durable for now.

Why does trust lag adoption?

Pricing is the profit lever hotels guard most closely. A single mispriced night compounds across occupancy, channel commissions and length of stay. Operators appear willing to let algorithms draft the numbers — less willing to let them publish rates unattended.

The survey's structure also matters. It comes from a vendor whose commercial interest lies in wider AI adoption, which makes the low-confidence figure more telling rather than less. Even the sector selling automation reports customers who hesitate.

What happens next?

Expect the adoption number to climb; software pricing increasingly bundles AI by default, so hotels will inherit it whether they seek it or not. The trust number is the one to watch. It moves only when operators see the audit trail — the data behind each recommended rate — and accept it. Until then, AI prices rooms. People still price hotels.