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AI · 30 September 2026

Kayak Founders Launch Lola, Booking Holdings' AI Travel Assistant

Booking Holdings has launched Lola, a standalone AI trip-planning assistant built by Kayak's co-founders, combining automated booking with a paid membership and human concierge escalation.

Newsdesk
Curated briefing · 2 min read

What happened

Booking Holdings has launched Lola, a new artificial intelligence travel assistant built by the co-founders of Kayak, according to an exclusive report from Skift. Lola is designed as a standalone AI product rather than a bolt-on feature, combining automated trip planning with a membership model and access to human concierge support.

The premise behind Lola is a familiar travel-industry problem: booking a single trip today typically means juggling separate apps and websites for flights, hotels, car hire and activities, with little continuity between them. Rather than retrofitting an existing Booking Holdings property, the company opted to build Lola from the ground up as a dedicated assistant intended to hold the entire trip-planning journey together in one place.

Skift reports that Lola pairs its AI capabilities with a paid membership structure and the option to escalate to a human concierge — a hybrid model that blends automation with human judgement for travellers who want more than a chatbot response when plans get complicated.

Why it matters

Lola is a notable signal of where large travel platforms believe AI assistants are heading: not as a search or recommendation layer bolted onto existing booking flows, but as a new front door to the entire trip, built independently and monetised directly through membership rather than purely through transaction fees or advertising.

For an industry built on fragmented, multi-vendor journeys, an assistant that spans flights, stays and on-the-ground logistics — and can hand off to a real person when things go wrong — addresses a structural weakness that individual booking apps have struggled to fix on their own. That Kayak's founders, rather than an internal product team, are behind the build also suggests Booking Holdings sees this as a genuine reinvention rather than an incremental upgrade.

The Renascence take

The interesting bet here isn't the AI itself — plenty of travel assistants can compare prices and draft itineraries. It's the decision to charge for membership and back the model with human concierges, which is really a bet on trust, not just convenience.

Most AI travel tools fail not because they can't plan a trip, but because travellers don't trust them to handle it when something goes wrong — a cancelled flight, a closed border, a double-booked hotel. By pairing automation with a paid membership and a human safety net, Lola is implicitly admitting that AI alone hasn't solved the confidence gap in high-stakes bookings. The real test won't be how well it plans a trip; it'll be how gracefully it recovers one. Any operator building AI-first service should take the same lesson: monetise the assistant, but design the escalation path with as much care as the automation itself.

Sources

This briefing was written by our Newsdesk, synthesising reporting from the outlets below. Follow the links for the original coverage.

FAQ

Questions we get on this topic

Lola is a new standalone AI travel assistant launched by Booking Holdings, built independently by the co-founders of Kayak rather than as an add-on to an existing Booking Holdings property.

Lola uses a paid membership model rather than relying solely on transaction fees or advertising, with members able to escalate to a human concierge when automated planning isn't enough.

It aims to unify trip planning — flights, hotels, car hire and activities — into one continuous assistant, addressing the fragmentation travellers face across separate booking apps and sites.

According to the reporting, pairing automation with human support is meant to give travellers confidence that complications like cancellations or double-bookings will be handled, addressing a trust gap that AI-only tools have struggled to close.

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