Airbnb credits AI overhaul for 15% stock surge, plans higher spend

Airbnb sees AI as growth catalyst after years of uncertainty

Airbnb shares jumped 15% Friday following second-quarter earnings that beat expectations, with CEO Brian Chesky attributing the turnaround directly to artificial intelligence investments that are now delivering measurable returns across the business.

In an interview with CNBC following the earnings release, Chesky said the company will spend significantly more on AI inference tokens than originally budgeted because the return on investment justifies the cost. The travel platform is cutting product development time by roughly 60%, shipping 80% more features year-over-year, and maintaining flat headcount even as AI spending climbs.

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

Why it matters

Airbnb's results offer concrete evidence that consumer platforms can generate positive ROI from AI investments when inference costs are small relative to transaction values. While many consumer companies struggle to justify AI spending, Chesky argues Airbnb's booking economics make the cost of tokens negligible compared to revenue gains from increased conversions and faster product iteration. The company's ability to grow revenue substantially faster than headcount also suggests AI productivity gains are translating to margin expansion.

From skepticism to conviction

The CEO's enthusiasm marks a sharp reversal from a year ago, when Airbnb was internally debating whether AI would help or hurt the business. Chesky, who studied industrial design at Rhode Island School of Design rather than engineering, has approached the technology with a design-first sensibility.

The company hired Ahmad Al-Dahle, Meta's former head of generative AI and a leader on the Llama project, as chief technology officer in January. Chesky said Airbnb had been "maybe middle of the pack in AI" before Al-Dahle arrived with a mandate to make the company AI-native.

Measurable impact across the platform

AI is now embedded throughout Airbnb's operations. The company is piloting AI-powered search, using models to generate personalized listing highlights and guest answers, and helping hosts create and price listings. In customer service, 45% of guests who interact with Airbnb's AI agent resolve their issues without speaking to a human.

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

Internally, productivity gains that started with engineering teams have spread to product management, design, marketing, and creative services. Chesky said the company tracks individual token usage but focuses more heavily on team output as the key metric.

Multi-model strategy with cost discipline

Airbnb is using more than a dozen AI models internally, including Anthropic's Claude Code and OpenAI's Codex. The company limits access to slower, more expensive frontier models when their additional capability isn't necessary, favoring open-source models for most consumer-facing products.

"Consumers mostly do not need frontier models for most things," Chesky said. "It's a matter of throttling the right job for the right tool."

He declined to name specific open-source models Airbnb deploys in consumer products, calling the technology stack competitively sensitive.

Skeptical of chatbot booking interfaces

Despite his AI enthusiasm, Chesky remains unconvinced that chatbots will replace Airbnb as the primary booking interface. Travel is visual, difficult to compare through text, and often planned collaboratively—all areas where traditional chat interfaces remain weak, he argued.

"I do not believe the chat interface is the right interface for travel," Chesky said, though he expects chatbots to become important for inspiration and itinerary building.

The company also raised its full-year guidance, with Chesky noting that first-time bookers are growing at the fastest pace in four years. Details were first reported by CNBC.