Airbnb has slashed the time needed to develop and launch new features by 60% by deploying artificial intelligence to write code and build products, the company disclosed during its second-quarter earnings call on August 7, 2026. Co-founder and CEO Brian Chesky said the platform is now constructing, testing, and refining capabilities at a pace unimaginable just 12 months ago. Earlier in 2026, Airbnb revealed that AI generates 60% of its code, and the latest results show the technology is reshaping how quickly the company can deliver to customers.
The vacation rental giant boosted the volume of features and enhancements it rolled out by nearly 80% compared to the same half-year period in 2025, Chesky said during the call. AI has accelerated work in critical areas including search, account creation, checkout, and payment processing, according to the company. The platform has also introduced tools to help property owners, such as streamlined onboarding procedures. On the customer service side, Airbnb's AI-powered support agent now handles inquiries in more than 50 languages after launching in North America in 2025, with voice call capability planned for later in 2026. Nearly 45% of customer problems that begin with the AI agent reach resolution without human staff involvement, and support cost per booking has dropped 16% year-over-year as a result.
"Today, we're building, testing, and iterating faster than we could just a year ago. Across some of our key initiatives, we've reduced the time from concept to launch by as much as 60%. And compared to the same six months last year, we've increased the number of features and improvements we shipped this year by nearly 80%," Chesky said during the earnings call. The company is now beginning to test AI-powered search functionality, which will allow users to toggle between the traditional search-and-filter interface and a natural language option. Chesky explained that results will appear in a visual format with AI-generated titles that read conversationally, and property description pages will feature highlights created in real-time and tailored to individual users. Until now, Airbnb has limited consumer-facing AI to review summaries and listing highlights, with Chesky maintaining that a simple chatbot approach doesn't suit travel scenarios.
The acceleration in product development comes as Airbnb posted strong financial performance for the quarter ending in June, with revenue climbing 17% year-over-year to $3.6 billion and adjusted EBITDA jumping 21% to $1.3 billion. The company's strategy reflects a careful balance: aggressively adopting AI on the back end to speed up engineering and cut support costs, while taking measured steps to introduce the technology in customer-facing features. Chesky has concentrated efforts on developing AI for search, discovery, and assistance rather than rushing to add chatbot interfaces that may not align with how travelers actually plan trips. The toggle feature in the new search test shows Airbnb's intent to let customers choose their preferred interaction method rather than forcing a wholesale shift to AI-driven navigation. The combination of faster internal development cycles and lower support expenses positions the platform to deliver more innovation while protecting margins, even as it experiments with how much AI travelers actually want to see. Platforms that integrate AI thoughtfully into existing workflows rather than replacing familiar interfaces wholesale may find greater user acceptance, though the ultimate test will be whether customers actually flip the toggle or stick with what they know.