📰 Key Takeaways

Airbnb CEO Brian Chesky said on the latest earnings call that AI is dramatically speeding up product development. Earlier this year the company revealed that 60% of its code is now written by AI. Chesky said AI has cut the time from idea to shipped feature by 60%, and the number of features and improvements launched this year is up nearly 80% compared to the same six-month period last year. AI is now used across search, sign-up, checkout, and payments, while also helping hosts speed up guest check-in and other experience improvements.

Compared to how aggressively AI has been rolled out on the backend, Airbnb has moved more slowly on the consumer-facing side, where it’s currently mostly limited to review summaries and listing highlights. Chesky maintains that a plain chatbot interface doesn’t work for travel, so the company is instead focusing on search, discovery, and customer support. He revealed that Airbnb is about to start testing an AI search feature, rolled out as a toggle so users can opt in or out — a deliberate move to avoid disrupting people who are used to the existing search and filter setup. Once enabled, users can type what they want in natural language, and the system will show results in a visual format, with titles generated by AI on the fly, a conversational presentation, and listing highlights personalized in real time.

Customer support is where AI has been pushed hardest. Airbnb launched an AI support bot in North America in 2025, and it now covers over 50 languages, with voice call support planned by year-end. Nearly 45% of issues initiated through AI support are now resolved without any human involvement, cutting customer service cost per booking by 16% year-over-year. Per the earnings report, revenue for the quarter ended in June was up 17% year-over-year to $3.6 billion, with adjusted EBITDA up 21% to $1.3 billion.

💬 JudyAI Lab Take

AI is dramatically shortening Airbnb’s product development cycle, and that’s a signal worth paying attention to if you’re building with AI.

Chesky mentioned that 60% of the company’s code is now written by AI, the time from idea to shipped feature has dropped by 60%, and the number of features and improvements shipped this year is up nearly 80% versus the same period last year. What stands out is that Airbnb’s pace of AI adoption isn’t uniform across backend and consumer-facing surfaces — the backend is moving fast, while the front end is deliberately held back. Chesky insists a plain chatbot interface doesn’t fit travel use cases, so the upcoming AI search feature is being rolled out as a toggle that lets users opt in, rather than forcing everyone into a new interface. That reflects a design principle that’s easy to overlook: AI adoption doesn’t need to move at the same speed everywhere — backend efficiency and front-end experience can advance at different paces, and the key is not disrupting existing user habits. The customer support numbers back this up too — 45% of issues get resolved by AI alone, and costs are down 16% year-over-year.

Next time you’re planning an AI feature rollout, it’s worth asking: should this be a “replacement” or an “optional layer”?

📅 Source Info

🔗 Further Reading