AI Gave Airbnb Its Strongest Quarter in Years, CEO Says

Airbnb's CEO says the company's recent surge is not a coincidence. It is the result of a serious bet on artificial intelligence.

Brian Chesky told CNBC that AI is the biggest reason Airbnb's business is accelerating. The company's stock jumped 15% on Aug. 7, 2026 after second-quarter results beat expectations.

The AI Bet Is Paying Off

A year ago, Airbnb was asking itself a simple question: "Is AI good for Airbnb or is AI bad for Airbnb?"

Now Chesky has a clear answer. "I think now it's safe to say AI is the best thing to have happened to Airbnb," he said.

The results back that up. Chesky says AI has shortened product development by about 60% and enabled about 80% more feature releases than a year earlier. All of that while keeping headcount roughly flat. He described the gains as "across the board: More demand, more supply, cheaper customer service."

The company is also using AI to cut costs in visible ways. About 45% of guests who use Airbnb's AI customer-service assistant never need to talk to a human.

Spending More to Make More

Chesky told CNBC that the company's token spending on AI this year will be considerably above its original forecast. Tokens are how AI companies charge for usage, so higher spending means Airbnb's AI systems are working harder.

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The reason is simple math. The cost of running AI models, known as inference costs, "pales in comparison" to the revenue and productivity gains the company gets back. "But that's great because the ROI is there, and therefore our revenue is much higher," Chesky said.

Chesky expects revenue to grow much faster than staffing. He said the goal is not to have fewer people but to "get more out of the people."

Airbnb uses more than a dozen internal AI models, including Anthropic's Claude Code and OpenAI's Codex. The company limits access to slower, pricier models unless they are truly needed. "It's a matter of throttling the right job for the right tool," Chesky said.

What Changed Inside the Company

Airbnb was not always an AI leader. Before January, Chesky described the company as "maybe middle of the pack in AI."

That changed when Airbnb hired Ahmad Al-Dahle as chief technology officer. Al-Dahle previously led generative AI at Meta, including its Llama work. His arrival marked a turning point. "I have so underestimated the impact of AI," Chesky admitted.

The gains began in engineering and then spread. Now teams in product, design, marketing, and creative roles are feeling the boost too. Internally, the company tracks token usage as a rough measure of how much AI is being adopted.

Chesky has a clear preference for how AI gets used. He prefers open-source models for consumer products and saves frontier models for hard problems. "Consumers mostly do not need frontier models for most things," he said.

Not Everyone Will Book With a Chatbot

One big question for the travel industry is whether AI chatbots will become the main way people book trips. Chesky is skeptical.

"I do not believe the chat interface is the right interface for travel," he said. Travel is visual, hard to compare in text, and often a group decision. Chatbots may help with inspiration and itineraries, but Chesky doubts they will become major booking platforms "in the coming future."

Meanwhile, the business is picking up. New-customer bookings are rising faster than at any point in four years. The U.S. market improved after the first quarter, and hotels are growing at a rate three times faster than traditional home-rental listings.

Chesky, who studied industrial design at Rhode Island School of Design, has also made connections in the AI world. He introduced Jony Ive and Sam Altman, who later worked together on AI hardware.

The bigger picture, he says, is that Airbnb is just getting started. "We are not a company whose best days were in the 2010s. We are a company where the best days are in front of us."

Why This Matters for Investors

For investors, the takeaway is straightforward. Airbnb is betting that AI will keep making its existing team more productive, which could mean rising revenue per employee and fatter profit margins over time. That is a bet worth watching.

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