Airbnb CEO Says AI Is "Number One Explanation" for Growth as Stock Surges 15%

Airbnb shares jumped 15% on Friday after the company posted one of its strongest growth quarters in years and raised its full-year outlook, with CEO Brian Chesky crediting artificial intelligence as the primary driver of the results.

In an exclusive interview with CNBC following the earnings report, Chesky said Airbnb will spend "a lot more" on AI tokens this year than originally forecast, arguing that the cost of inference "pales in comparison" to the revenue and productivity the company is getting in return.

"I think now it's safe to say AI is the best thing to have happened to Airbnb," Chesky said. "I think we're becoming an AI-native company, and I think that is probably the number one explanation for our results."

The gains are showing up in concrete operational metrics. Chesky said Airbnb has cut product-development time by roughly 60%, is shipping about 80% more features year over year, and has kept headcount roughly flat even as AI spending rises sharply.

In customer service, 45% of guests who interact with Airbnb's AI agent never need to speak with a human agent — a figure Chesky cited as evidence that the productivity gains are spreading well beyond engineering.

"It's really across the board: More demand, more supply, cheaper customer service," Chesky said.

The shift marks a notable evolution for a CEO who, a year ago, was still asking internally whether AI was ultimately good or bad for the business. Chesky, who studied industrial design at the Rhode Island School of Design and built Airbnb with a design-first philosophy, has increasingly aligned that sensibility with an AI-driven product strategy.

A key part of that realignment was the January hire of Ahmad Al-Dahle — Meta's former head of generative AI and a leader of its Llama work — as chief technology officer. Chesky said Airbnb had been "maybe middle of the pack in AI" before Al-Dahle arrived with a mandate to help make the company "AI-native."

Airbnb is currently using more than a dozen AI models internally, including Anthropic's Claude Code and OpenAI's Codex. Chesky said the company throttles access to slower and more expensive models when their additional capability is not needed for a given task, and he is particularly bullish on open-source models for consumer-facing products. He declined to name the specific open-source models deployed in those products, citing competitive sensitivity.

On hiring, Chesky said investors should expect revenue to grow "a lot faster" than headcount going forward. "Our philosophy has been not necessarily to use AI to have fewer people, but to use AI to get more out of the people," he said, adding that revenue per employee should continue to rise.

The productivity improvements, Chesky said, began with engineers and have since spread to product management, design, marketing, and creative services — a broader diffusion than many AI adopters have reported.

Airbnb's earnings beat comes during a turbulent week for the broader software sector, in which investors have been sharply divided over which technology companies are best positioned to survive the rise of AI-native tools. While companies including HubSpot and Datadog fell sharply on earnings reports earlier in the week, Airbnb's results reinforced the case that AI can function as a growth accelerant rather than a threat for certain consumer platforms.

With Chesky forecasting continued growth and signaling significantly higher AI spending ahead, the central question for investors is whether Airbnb's favorable unit economics — where inference costs are dwarfed by per-booking revenue — can sustain the model as AI token costs and competitive pressures evolve.

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