Artificial intelligence is reshaping how travelers plan trips, but a significant disconnect remains between discovery and actual bookings. Data presented at Skift’s Data + AI Summit in London last week indicates that while AI tools are changing internal operations, they are not yet driving reservation volume. The most pressing issue for the travel industry is the AI travel visibility gap, which disproportionately affects independent properties in Europe.
Independent Hotels Face Discovery Barriers
Europe’s hotel market is distinct because approximately 75% of properties are independently owned, according to 2023 research from Booking.com and Statista. This structure creates a unique challenge for AI systems that rely on structured data. Stiplo, a travel technology company, analyzed 27,360 AI-generated travel answers covering 659 properties in Barcelona. The findings showed that independent hotels were eight times more likely to be completely unknown to AI systems compared to chain hotels.
Once an independent hotel was identified by an AI system, it was recommended at roughly the same rate as chain properties. This suggests the problem is not quality or pricing, but initial discoverability. Carlo Del Mistro, founder of Stiplo, noted that the volume of Google reviews was the strongest factor associated with an AI system’s ability to find a property. Chain hotels typically have larger digital footprints and more review data, giving them an advantage in AI training sets.
Booking Rates Remain Below One Percent
Even when AI systems successfully identify hotels, travelers are not using these tools to complete transactions. Booking Holdings disclosed that less than 1% of its room nights originate from AI channels. Bernstein estimates that Marriott sees a similar figure, with about 1.6% of bookings coming from AI sources. This low conversion rate highlights a trust deficit among consumers.
A global survey cited by Skyscanner CEO Bryan Batista revealed that 51% of travelers distrust the reliability and accuracy of AI data and recommendations. This skepticism prevents users from moving from the planning phase to the booking phase. Travelers appear to use AI for inspiration and itinerary building but still prefer traditional channels for final reservations.
Operational Gains Outpace Consumer Adoption
While consumer-facing AI bookings are minimal, the technology is delivering measurable returns in internal operations. Executives at the summit emphasized that efficiency gains are the current primary benefit. United Airlines’ Connection Saver tool at Denver International Airport saved 54,000 passenger connections, according to OAG CEO Filip Filipov. These tools help airlines manage disruptions and improve customer service without requiring direct consumer interaction.
However, the economic case for AI is not straightforward. Travelport CTO Andrew Jordan warned that simply saving hours of work does not automatically justify the cost. He noted that AI expenses often just add a new line item to the profit and loss statement without clear revenue generation. Companies are now focusing on proving specific value rather than adopting AI for its own sake.
The EU AI Act is also influencing how European companies deploy these tools. The regulation requires firms to formalize how AI systems are reviewed and used internally. This compliance burden adds another layer of complexity for independent hotels that may lack the resources to navigate new regulatory requirements. As AI continues to evolve, the gap between operational efficiency and consumer adoption will likely remain a key focus for the travel industry.
Source: Skift
