TL;DR

Airbnb CEO Brian Chesky plans to back a new AI lab focused on user interaction and design, while remaining at Airbnb. The move puts him in competition with Sam Altman, whom he helped reinstate at OpenAI in 2023.

Brian Chesky has spent years as an AI kingmaker. He met Sam Altman through Y Combinator in 2006, advised him on managing OpenAI’s hypergrowth, and helped broker Altman’s return to power after the board fired him in November 2023. He was reportedly considered for a seat on OpenAI’s board.

Now he is entering competition with his protégé’s company. Chesky plans to back a new AI lab of his own, Bloomberg first reported on Wednesday, with a focus on user interaction and design. He will remain as Airbnb’s CEO and will not lead the lab himself. The details are early-stage and could change.

Why Chesky is unsatisfied

The move reflects a frustration Chesky has voiced publicly for more than a year. He said last year that Airbnb had not struck an LLM partnership because existing products were not quite ready for what he wanted to build. His argument is that travel and commerce require a rich visual interface, not the text-based chatbots that OpenAI and Anthropic have popularised.

Airbnb has not been idle on AI. The company hired Ahmad Al-Dahle, who led generative AI work at Meta including the Llama model family, as chief technology officer in January 2026. It has rebuilt its app around a large language model for conversational search, automated 40% of customer support queries with an AI bot, and rolled out AI-generated listing details and review summaries. A voice-based assistant is planned for later this year.

But Chesky appears to have concluded that buying AI from frontier labs is not enough. He wants to build at the model layer, not just the application layer.

A growing pattern

Chesky is not alone. Brett Adcock launched Hark late last year with $100 million of his own money to build a universal AI interface, then raised a $700 million Series A at a $6 billion valuation. Hark is also emphasising user interaction and hardware, with the lead iPhone designer from Apple now heading its design effort.

Mira Murati’s Thinking Machines Lab is pursuing “interaction models” that process continuous streams of audio, text, and video in real time. The common thread is a belief that the frontier labs have focused on intelligence at the expense of interface, and that the next defensible layer sits between the model and the user.

The trend carries a broader implication. When founders of Chesky’s stature stop waiting for OpenAI, Anthropic, or Google to deliver what they need and start building their own research capacity, it signals that the application layer has run into the limits of what commodity models can provide.

The Altman dynamic

The personal dimension is hard to ignore. Chesky and Altman’s relationship spans nearly two decades. Chesky met Altman through Y Combinator, which incubated Airbnb. When OpenAI took off, Chesky began meeting regularly with Altman to advise on scaling a technology company. During the November 2023 board crisis, Chesky advised Altman on public relations and rallied support among Silicon Valley executives.

Now Chesky is building an operation that will compete, at least in part, with OpenAI’s own ambitions in user-facing AI. It is unclear whether the new lab will train its own models or build specialised systems on top of existing ones. But the direction is clear: Chesky wants proprietary AI research, not an API subscription.

What we do not know

Nearly everything about the lab remains unspecified. There is no name, no announced team, no disclosed funding amount, and no timeline. Chesky’s commitment to remaining at Airbnb raises questions about how much of his attention the new venture will receive, and whoever leads it will inherit a founding chair whom TechCrunch described as “known as a micromanager.”

What is clear is the thesis. Chesky has watched the AI lab landscape from closer than almost anyone outside it, and he has decided that the interface problem, making AI useful in rich, visual, consumer-facing contexts, is important enough to warrant its own research operation. Whether a part-time founder can build one that matters is the open question.