Airbnb’s CEO created an internal intelligence layer trained on company documents and dashboards to stay informed without endless briefings. The system reduced his meeting load and is already handling customer support at scale.
Chesky created an internal intelligence corpus trained on company materials — including 18,000 Keynote decks and 50,000 Google Docs — to surface what’s happening across Airbnb.
The intelligence layer and dashboards gave Chesky a real-time view of company activity, allowing him to reduce his meetings by roughly half.
The same systems power customer-facing automation that now handles close to half of Airbnb’s support tickets in 50 languages and cut support cost per booking by about 16% year over year.
Brian Chesky decided to stop using meetings as his primary way to learn what's happening inside Airbnb. He built an internal intelligence "brain" — a corpus trained on the company's materials and a suite of dashboards — so he could get a clear, real-time picture without constant briefings.
Chesky's intelligence layer draws on a large set of company artifacts. Reported inputs include 18,000 Keynote presentations and 50,000 Google Docs, plus other internal materials. Those sources feed a centralized intelligence corpus that the CEO uses alongside custom dashboards to track operations and product progress.
Before the system, Chesky said he relied heavily on meetings to figure out what was happening across teams. The intelligence layer gave him "total information," allowing him to cut the number of meetings he attends roughly in half. He framed learning to use these tools as a personal priority — he wants fluency comparable to someone who grew up with the technology.
Airbnb reports concrete operational outcomes tied to the company's intelligence and automation efforts. This year, Airbnb shipped more than 600 site features, roughly double last year's total, a jump Chesky attributes in part to the executive team using the intelligence tools.
Customer support is a major area of impact. The systems now handle close to half of Airbnb's customer-service tickets across 50 languages. That automation helped lower support cost per booking by about 16% year over year.
Chesky says Airbnb is "pretty much" centered around this technology now and that the executive team has shifted to adopt it widely. The company plans to launch its own customer-facing conversational agent in 2027, which Chesky describes as an interface richer than a conventional chatbot.
Chesky's stance mirrors a broader trend: many large companies are increasing spending on intelligence-driven initiatives while expressing caution about hype. A 2026 KPMG survey found most large-company CEOs thought generative solutions had been overhyped the prior year, yet many still planned meaningful budget allocations to related projects.
Chesky replaced a large portion of his meeting load with a centralized intelligence corpus and dashboards trained on internal content. The move reduced his meetings and produced measurable operations gains, especially in customer support. Airbnb plans to extend the approach to customer interactions with a new agent slated for 2027.
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