Airbnb has cut the time it takes to turn a feature idea into a shipped product by as much as 60%, thanks to a company-wide push to integrate AI into its engineering workflow, CEO Brian Chesky said during the company’s second-quarter earnings call on August 6, 2026. The company also said it is finally beginning to test an AI-powered search experience for guests, marking its first major consumer-facing AI feature beyond review summaries and listing highlights.
Chesky told investors that AI is now writing roughly 60% of Airbnb’s code, a figure the company first disclosed earlier this year. That shift has accelerated the pace of development dramatically: Airbnb shipped nearly 80% more features and improvements in the first half of 2026 than it did in the same period last year.
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“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 6 months last year, we’ve increased the number of features and improvements we shipped this year by nearly 80%,” Chesky said on the call.
AI search: A careful roll-out
While Airbnb has been aggressive in using AI internally, it has moved cautiously on consumer-facing AI. Chesky has repeatedly said that simply bolting a chatbot onto the platform would not work for travel use cases, where users often have complex, multi-step needs. Instead, the company has focused on applying AI to search, discovery, and support.
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That approach is now yielding its first visible result. Airbnb is beginning to test an AI search function that allows users to type natural-language queries — such as “a beach house with a pool near Lisbon that allows pets” — and receive results in a visual, conversational format. The results will include AI-generated titles and personalized highlights generated in real time, according to Chesky.
“The titles [in the answer] could actually be AI generated and they can be conversational as if you’re reading a chatbot, but more visual. Then you get to the product description page and the highlights are AI generated in real-time and personalized to you,” he said.
Importantly, Airbnb is not forcing the new experience on users who are comfortable with the existing search and filter interface. The company is adding a toggle that lets users switch between traditional search and the AI-powered version, a recognition that many travelers have developed muscle memory around the current design.
AI’s biggest impact so far: customer support
While AI search is still in testing, Airbnb has already deployed AI heavily on the back end, particularly in customer support. The company launched its AI-powered support bot in North America in 2025 and has since expanded it to more than 50 languages. Plans are in place to add voice-call support later this year.
The results have been measurable. Airbnb said nearly 45% of customer issues that start with its AI agent are resolved without any human intervention. That automation has helped reduce the company’s support cost per booking by 16% year-over-year, a meaningful efficiency gain for a platform that processes millions of stays globally.
The efficiency push comes alongside strong financial performance. For the quarter ended June 30, 2026, Airbnb reported revenue of $3.6 billion, up 17% year-over-year, and adjusted EBITDA of $1.3 billion, up 21%.
What this means for the travel industry
Airbnb’s approach to AI is being watched closely by the broader travel industry, which has been slower to adopt generative AI in consumer-facing products. Rivals like Booking Holdings and Expedia have experimented with AI trip planners and chatbots, but Airbnb’s focus on integrating AI into its core search and support infrastructure — rather than as a standalone feature — reflects a different philosophy.
For travelers, the eventual rollout of AI search could change how they discover and book accommodations, moving from a filter-based model to a more conversational one. For hosts, the company’s AI-assisted development pipeline has already produced improvements like a faster onboarding flow, according to Chesky.
The test of AI search is still in its early stages, and Airbnb has not announced a timeline for a broader rollout. But the company’s willingness to experiment — while preserving the traditional search experience for those who prefer it — suggests a pragmatic approach to a technology that has often been deployed with more hype than care.
This article is for informational purposes only and does not constitute financial advice. The travel and technology sectors are subject to market volatility and competitive pressures. Readers should conduct their own research before making any business or investment decisions.
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