Key facts
- Airbnb has reduced the time from concept to launch for features by up to 60% using AI.
- The company increased the number of features and improvements shipped by nearly 80% year-over-year.
- AI is being deployed in areas including search, sign-up, checkout, and payments.
- Airbnb is testing a new AI-powered search feature with a toggle for users.
- AI handles nearly 45% of customer support issues without human intervention.
- Support cost per booking is down 16% year-over-year.
Airbnb is significantly accelerating its product development cycle by leveraging artificial intelligence, according to co-founder and CEO Brian Chesky. The company has reported a 60% reduction in the time it takes to move features from conceptualization to launch, alongside an 80% increase in shipped features compared to the previous year.
Chesky highlighted AI's application across various functions, including search, sign-up, checkout, and payments, as well as host onboarding. While consumer-facing AI features have been implemented more gradually, focusing on areas like review summaries and listing highlights, the company is now preparing to test a new AI-powered search function. This feature will offer users a toggle to switch from traditional search and filters to a natural language interface that generates visual results and personalized product descriptions.
On the backend, Airbnb has heavily deployed AI in customer support, with its AI agent now available in over 50 languages and planned for voice call integration. This has led to nearly 45% of customer issues being resolved without human intervention, contributing to a 16% year-over-year decrease in support cost per booking.
These operational improvements coincide with strong financial results, as Airbnb reported a 17% year-over-year increase in revenue to $3.6 billion and a 21% rise in adjusted EBITDA to $1.3 billion for the quarter ended in June.