Airbnb has taken its time to launch AI features within the app, but CEO Brian Chesky on Friday said the company is now planning to bake in features powered by large language models that would help users search for listings, plan their trips, and aid hosts in managing their properties.

Speaking at the company’s fourth-quarter conference call, Chesky said the company wants to increase its use of large language models for customer discovery, support and engineering.

“We are building an AI-native experience where the app does not just search for you.

It will help guests plan their entire trip, help hosts better run their businesses, and help the company operate more efficiently at scale,” he said.

The company separately said it is testing a new feature that lets users search and ask questions about properties and locations using natural language queries.

Currently, Airbnb offers an LLM-powered customer service bot, for some personalization, and communications.

The new AI search feature is expected to “evolve into a more comprehensive and intuitive search experience that extends through the trip.

” Questioned by analyst whether Airbnb would roll out sponsored property slots within AI search, Chesky said the company wants to get the design and user experience right first.

“AI search is live to a very small percentage of traffic right now.

We are doing a lot of experimentation. Over time, we are gonna be experimenting with making AI search more conversational, integrating it into more than the trip, and, eventually, we will be looking at sponsor listings as a result of that,” Chesky said, adding that Airbnb would consider designing an ad unit that fits the conversational search flow. Techcrunch event TechCrunch Founder Summit 2026: Tickets Live On June 23 in Boston, more than 1,100 founders come together at TechCrunch Founder Summit 2026 for a full day focused on growth, execution, and real-world scaling. Learn from founders and investors who have shaped the industry. Connect with peers navigating similar growth stages. Walk away with tactics you can apply immediately Save up to $300 on your pass or save up to 30% with group tickets for teams of four or more. TechCrunch Founder Summit: Tickets Live On June 23 in Boston, more than 1,100 founders come together at TechCrunch Founder Summit 2026 for a full day focused on growth, execution, and real-world scaling. Learn from founders and investors who have shaped the industry. Connect with peers navigating similar growth stages. Walk away with tactics you can apply immediately Save up to $300 on your pass or save up to 30% with group tickets for teams of four or more.

Boston, MA | REGISTER NOW Chesky said Airbnb plans to tap the AI expertise of its new CTO, Ahmad Al-Dahle (he worked on Meta’s Llama models previously), to use its trove of identity and review data to make the app more useful.

Airbnb claimed its AI-powered customer support bot, launched in North America last year, now handles a third of customer problems without needing any human intervention.

Chesky noted there are plans to enable customers to call the AI bot for support, and expand language coverage to customer support as well.

“A year from now, if we are successful, significantly more than 30% of tickets will be handled by a custom service agent, in many more languages, in all the languages where we have live agents.

AI customer service will not only be chat, it will be voice,” he said.

The company is also thinking about increasing AI usage internally.

Airbnb said 80% of its engineers use AI tools, but the goal is to get to 100%.

Airbnb reported better-than-expected revenue of $2.

78 billion in the fourth quarter, up 12% from a year earlier

Highlighted sentences link to their corresponding claims. Click any highlighted sentence to jump to its detailed analysis.
Highlight Colors Indicate Claim Quality:
✓ Healthy Claim - No fallacies or contradictions detected
⚠️ Minor Issues - Has contradictions or minor fallacies
🚨 Serious Issues - Multiple contradictions or severe fallacies
Quality Criteria: Claims are evaluated for logical fallacies and contradictions with other news sources. Green highlights indicate healthy claims suitable for reference.
Source