Airbnb plans AI travel agent launch in early 2027

Airbnb will launch a custom-built artificial intelligence travel agent in the first half of 2027, moving away from text chat windows in favour of an interface that builds custom visual layouts as users browse.

Chief executive Brian Chesky detailed the launch date in the company’s third-quarter shareholder letter on Thursday, framing the tool as a departure from general-purpose assistants. The company argued that while standard bots handle administrative errands well, holiday planning requires a more visual and collaborative medium.

How the AI agent works

Rather than typing back and forth with a bot in a narrow dialogue box, travellers will see the system assemble custom pages in real time. The software draws from several hundred interface elements, including interactive maps, curated photograph galleries, side-by-side home comparisons, calendars, and live itineraries.

Chesky told analysts on the quarterly earnings call that around 80 per cent of holidaymakers enjoy researching destinations, browsing homes, and coordinating with friends or family. Forcing that journey into a conversational text prompt, he said, ignores how people actually make holiday choices.

Beyond booking accommodation, the agent will handle customer service throughout a stay. Airbnb said the software will manage itinerary changes, process refunds, resolve payment disputes, and provide 24-hour safety support directly inside the platform.

Over time, the company intends to expand the tool’s scope past residential rentals to cover hotel bookings, curated experiences, and local services.

Strong quarterly earnings support rollout

The product timeline came alongside third-quarter financial figures that surpassed analyst forecasts. Airbnb reported quarterly revenue of $4.87 billion, a 19 per cent increase on the same period last year and its quickest pace of expansion in more than three years.

On the back of the quarterly figures, Airbnb raised its revenue projection for the full 2026 financial year, forecasting growth in the high teens compared to earlier expectations of the mid-teens.