This insight summarises Travel AI's Prove-It Phase, Visibility, and the Booking Gap, by Adriana Lee, Skift's travel technology and AI reporter, published on Skift on 11 October 2026.
The big picture. Skift's Data + AI Summit in London showed AI changing how hotels get discovered and how companies run internally. AI-driven bookings, however, remain marginal, and the clearest measurable returns are in operations rather than autonomous trip planning.
A discovery gap, not favouritism. Stiplo analysed 27,360 AI travel answers covering 659 Barcelona properties. Independent hotels were eight times more likely than chains to be unknown to AI systems, yet once known they were recommended at roughly the same rate. Founder Carlo Del Mistro said Google review volume was the strongest factor associated with discoverability. That matters in a market where about three-quarters of European hotels are independently owned.
The booking gap in numbers:
- Booking Holdings has disclosed that less than 1% of its room nights come from AI channels.
- Bernstein estimates about 1.6% at Marriott.
- Skift and McKinsey research shows AI usage falling to roughly 6% by the booking and checkout stage.
- Skyscanner CEO Bryan Batista cited a global survey in which 51% of travelers said they distrust the reliability and accuracy of AI data and recommendations.
Operations must show a return. Travelport CTO Andrew Jordan warned that saved hours alone simply add an AI cost line to the P&L. OAG CEO Filip Filipov pointed to United Airlines' Connection Saver at Denver, which he said saved 54,000 passenger connections, as the kind of outcome that proves value.
Governance as discipline. The EU AI Act gives European companies another reason to formalise how they review and deploy AI tools internally.
Why this matters for hotels. The fight for AI visibility is happening before AI bookings scale. Independent hotels should build review volume and accurate, consistent property data now, while measuring internal AI projects by outcomes rather than hours saved.