Airbnb now leans on artificial intelligence for a large share of its software development. During its Q1 2026 earnings call, CEO Brian Chesky said roughly 60 percent of all new code at the company is now written with AI assistance. That puts Airbnb alongside tech players like Google, Microsoft, and Spotify, which previously shared similar figures for AI-generated development.
Chesky said Airbnb uses AI across multiple fronts at once: software development, customer support, search, and tools for hosts and third-party software partners. The remarks came as the company released its Q1 2026 results.
AI is reshaping how Airbnb builds software
Airbnb says AI doesn’t just save time—it’s changing how engineering teams are structured. On the earnings call, Chesky noted that with AI agents, developers can now ship far more without massive engineering headcount.
Where it once might have taken twenty engineers to build certain tools for Airbnb’s API partners, individual developers can now handle much of that work with AI systems under human oversight. The gains are especially strong for partners managing properties through external software.
In its shareholder letter, Airbnb writes that nearly 60 percent of all code produced by engineers is now “coauthored with AI.” The company claims that’s about double the estimated industry average.
That shift mirrors a wider Silicon Valley trend. Big tech increasingly uses AI for coding, code reviews, debugging, and automating repetitive development tasks. The rise of generative tools like GitHub Copilot—and internal AI assistants—has accelerated the move.
Costs keep falling
Airbnb now directly links AI to operational efficiency. The company says cost per booking fell about 10 percent in the first quarter thanks to improved AI-driven customer service. AI is also helping dev teams ship features faster and push updates more frequently.
AI chatbots now resolve 40 percent of support issues
Airbnb’s support operations are increasingly AI-powered. The company reports its AI assistant now resolves more than 40 percent of customer issues without human agents—up from roughly one-third previously.
According to Airbnb, that automation delivers faster response times and lower operating costs. The company saw cost per booking decline about 10 percent year over year in Q1.
Chesky still sees clear limits for AI in travel and e-commerce. “No one has really solved AI for travel or e-commerce,” he said, arguing traditional chatbots fall short for bookings because:
- travel is highly visual, not text-first;
- users want to compare options instantly;
- bookings are often made collaboratively;
- maps, filters, and sliders remain essential.
In other words, the future of AI in travel will likely go far beyond simple chatbots.
Solid quarter despite geopolitical headwinds
Alongside the AI updates, Airbnb posted strong Q1 2026 results.
The company reported:
- revenue of $2.7 billion, up 18 percent;
- net income of $160 million;
- gross booking value of roughly $29 billion;
- 156.2 million nights and experiences booked, up 9 percent;
- adjusted EBITDA of $519 million, up 24 percent year over year.
Airbnb also raised its full-year 2026 outlook, guiding to revenue growth in the “low to mid-teens” and an EBITDA margin of at least 35 percent.
A standout growth driver: “Reserve Now, Pay Later,” which lets users book stays and pay later. Airbnb says about 20 percent of total booking value now comes through this option.
AI’s impact is finally showing up in the numbers
Airbnb’s results show how AI is increasingly visible in quarterly reports across big tech. Where last year was about pilots and prototypes, companies now tie automation to tangible financial gains.
At Airbnb, that translates to faster software delivery, lower support costs, and higher operational efficiency. At the same time, Chesky’s critique of current chat interfaces underscores that many companies still lack the right UX for complex consumer services like travel and e-commerce.
For the tech sector, the takeaway is clear: AI is excelling as an internal productivity layer, while fully AI-native consumer experiences are still being built.
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