Airbnb shares jumped 15% Friday after the company reported one of its strongest growth quarters in years, a performance CEO Brian Chesky directly attributed to artificial intelligence. The surge reflects a deepening reliance on technology to extract greater surplus value from existing operations, rather than expanding the workforce. Chesky told CNBC that Airbnb will spend “a lot more” on AI tokens this year than originally forecast, noting the cost of inference “pales in comparison” to the revenue and productivity gains.
Who Profits from Automation
The company is cutting product-development time by roughly 60%, while shipping about 80% more features year over year. This acceleration in output comes without a corresponding increase in labor. Chesky declared that AI is “the best thing to have happened to Airbnb,” claiming the company is “becoming an AI-native company.” He sees this shift as the “number one explanation for our results.” Airbnb hired Ahmad Al-Dahle, Meta’s former head of generative AI, as chief technology officer in January, the same year, tasking him with making the company “AI-native.”
AI is already helping Airbnb attract more bookings, simplify the listing and pricing process for hosts, and significantly lower customer-service costs. Forty-five percent of guests who interact with Airbnb’s AI agent never need to speak with a human agent. Chesky summarized the impact: “More demand, more supply, cheaper customer service.” Internally, Airbnb tracks employee AI usage, focusing on team output, which Chesky says is “significantly more productive” across engineering, product management, design, marketing, and creative services. He admitted, “I have so underestimated the impact of AI.”
The Cost to Labor
Despite these massive productivity gains and rising revenue, Airbnb's headcount remains roughly flat year to date. Chesky stated investors should expect revenue to grow “a lot faster” than staffing for the foreseeable future. He articulated the company's philosophy: “not necessarily to use AI to have fewer people, but to use AI to get more out of the people.” This strategy directly translates to increased revenue per employee, a clear mechanism for wage suppression and intensified labor exploitation. The company's economic model, according to Chesky, is unusually favorable, with inference costs dwarfed by “the amount of money we make on every booking” and additional revenue from faster product development. He confirmed, “We are going to spend a lot more on AI tokens this year than we forecasted. But that’s great because the ROI is there, and therefore our revenue is much higher.”
Expanding Capital's Reach
Airbnb uses more than a dozen AI models internally, including Anthropic’s Claude Code and OpenAI’s Codex, carefully limiting access to more expensive models when not strictly necessary. Chesky is particularly bullish on open-source models for consumer-facing products, viewing frontier models as important only for the “hardest problems.” He declined to name the specific open-source models, citing competitive sensitivity. Chesky does not believe chatbots will replace Airbnb as the primary transaction layer for travel, which he describes as visual and collaborative. He expects chatbots to assist with inspiration and itinerary building, but not become major booking platforms “in the coming future.” The company is focused on extending its own growth runway, with first-time bookers growing at the fastest pace in four years. The U.S. business accelerated from the first quarter. Airbnb is also expanding beyond its traditional home-rental marketplace, with hotels now growing three times faster than its home listings. Chesky concluded, “We are a company where the best days are in front of us.” This expansion into new sectors, fueled by AI-driven efficiency, signals further capital accumulation and market dominance.