Chesky argues that AI will force companies to strip out layers, move closer to the work, and rebuild around people rather than products. He says Airbnb is already testing that shift with small teams, tighter loops, and new businesses built one market at a time.
Brian Chesky says the job most founders are told to learn by doing is the one they least understand. In his telling, a company only stays legible when its leader stays in the details, and the pandemic made that plain by showing him how far Airbnb had drifted from its founder’s grip. Now he thinks AI will push that logic further, stripping away layers of management and forcing companies to rebuild around people, products, and faster feedback loops.
Brian Chesky’s account of leadership begins with a provocation: no one is born a good CEO, but founders may be born. He treats the two jobs as almost opposites, with founding driven by instinct and the chief executive role demanding a discipline that feels unnatural at first, especially for people who rose by improvisation. The argument is less flattering than it sounds. A founder who keeps trusting instinct after the company scales, he says, can end up running it by accident.
No one is born a good CEO. I think people are basically born good founders, or said differently, it’s innate.
The job of CEO is completely counterintuitive and almost all of your intuition about what to do is wrong.
That split, Chesky argues, is exactly what industrial design trained him to see. At the Rhode Island School of Design, he was drawn to a field where every object had to work technically, sell commercially, and fit human behavior at once. He describes it as a discipline that taught him to think in systems, not just surfaces, which later shaped how he approached product and company design at Airbnb.
A design is only successful if it sells.
2:56
I think that really prepared me for this field, and I think there’s a reason why I became a CEO because there’s no product managers in industrial design, you are the PM.
5:10
His answer to that problem is what he calls founder mode, a phrase that became shorthand for pulling decision-making back toward the center. Chesky says the mistake was not delegation itself, but delegation that turned into detachment, where professional managers accumulated their own kingdoms and the founder stopped managing the company. He presents the fix in almost anti-managerial terms: stay close, do not apologize for how you want the company run, and remain in the details.
By the time Brian Chesky says he was in control, he means the opposite: he had built a company so large that it no longer felt steerable. He describes the late 2010s as a moment when Airbnb had become unrecognizable, with 7,000 employees and thousands of decisions happening without him, until the pandemic forced a reset.
I woke up one day and it was completely unrecognizable, the company I was running. I felt like I was in a car without a steering wheel.
8:25
I had a dream in late 2019 where I felt like I'd left the company for 10 years and I'd come back, and I realized, oh my God, it was me the whole time.
9:28
That self-indictment is the core of his founder-mode story. Chesky says he had overdelegated to professional managers, drifted into passivity, and let the company be managed rather than managing it himself, which in his telling is exactly how a founder loses the thing only a founder can see. He says the pandemic made that risk impossible to ignore, because Airbnb lost 80% of its business in eight weeks and the company moved from peace time to wartime.
It was really about not apologizing about how you want to run a company, being in the details. That was founder mode.
7:53
The pandemic happened and we lost 80% of our business in 8 weeks. We were in total crisis mode at that moment.
10:05
He is explicit that this was not a permanent return to micromanagement, but a period of re-auditing the machine before handing any of it back. For two or three years, he says, he reviewed nearly everything, worked about 100 hours a week, and treated control as a prerequisite to trust rather than a substitute for it.
Brian Chesky’s case for AI begins with a rejection of old management orthodoxy. He argues that companies built around meetings, sign-offs, and layers of people managers will lose speed, while smaller teams tied to real work will gain it. In his reading, the future belongs to organizations that become flatter, more asynchronous, and harder to hide inside.
I think in AI, we’re going to move away from meeting-based to asynchronous, and we’re fairly remote, so I think that will benefit us.
12:20
I think you’re going to have a lot fewer layers of management. I think going to a few layers of management would make a lot of sense.
12:27
Chesky pushes the point further than a general anti-bureaucracy sermon. He says every job inside Airbnb will change, and that the company is already trying to get people to adopt AI tools before redesigning the org around them. The implication is blunt: managers who only manage people, and not the work itself, are headed toward obsolescence.
I don’t think people managers will have any value in the future. I think everyone’s going to have to be a hybrid people manager or manager IC.
12:54
You need to have context. You can’t just be like these managers where you’re kind of people’s therapists and you’re just doing meetings.
13:24
Brian Chesky’s case for AI-era product building begins with a rebuke to scale worship. At Airbnb, he argued, the company kept trying to launch new businesses like global products, when the smarter move was to treat them as small, winnable problems and only then widen the blast radius. That logic, he said, is what turned a single internal experiment into a repeatable method.
The basic philosophy is make the problem as small as possible. Get to product-market fit, then scale.
25:10
If you get to 10, it works, we'll industrialize.
26:09
The experiment he kept returning to was Project Hawaii, a small team of 10 or 12 people built around the guest experience and conversion. Chesky described it as a startup inside Airbnb, with designers, engineers, product people, and data scientists focused on one funnel and one north star: make the experience better, then let the numbers tell the story. He said that team eventually produced the equivalent of $200 million in internal revenue in year one, then $400 million or $500 million the next year.
We launched service experiences a hundred cities. And I went back and I thought to myself, wait a second. Airbnb launched in New York.
25:49
Make the problem as small as possible, dominate a niche.
26:34
What Chesky is really arguing against is the habit of confusing a business with a rollout plan. In his telling, Airbnb’s mistake was trying to scale services and experiences too early, before the company had really understood a single city. He connected that to AI too, saying the same principle applies when products are rebuilt around fewer abstraction layers and a direct line to the source.
Chesky’s argument ends where the company’s next risk begins: Airbnb cannot stay a homes app if it wants to survive the platform shift he sees coming. In his telling, the business has to become something closer to a map of people, preferences, and services, or AI will make the old interface feel ornamental. The app may still work, but he says the category it defined will not stay still.
I do not want Airbnb to be about homes. I want it to be about people, and I want the people to be the atomic unit.
56:08
I don’t think there will be apps in the future. If we’re attached to apps, I don’t think there will be apps.
1:03:05
Chesky keeps returning to the same fear: if Airbnb does not reinvent itself, someone else will do the reinvention for it. He described the company’s next phase as building around the person, then adding an expanding ring of offerings around that core, from experiences to services and perhaps eventually flights. The wager is that the network can deepen without dissolving the trust that made it work.
We’re building a community, and that is because that’s the only thing that will last.
1:03:09
How do we disrupt ourselves before someone else does with AI without screwing over our investors and our hosts who depend on us?
58:35
What does Chesky mean by founder mode?
He means running a company with close control over details, decisions, and product quality instead of delegating everything to layers of management. In his view, that is how a founder keeps the company legible and on course.
Why does he think AI changes management?
He argues that AI removes information bottlenecks, so companies will need fewer layers and less meeting-heavy coordination. The leaders who survive, he says, will still have to do real work in their field.
What is Project Hawaii?
It is Airbnb’s internal effort to build new businesses with very small, focused teams and tight feedback loops. Chesky says the model produced major revenue gains and can be repeated in other areas.
What is Airbnb trying to become?
Chesky says he wants Airbnb to move from being centered on homes to being centered on people, identity, and a broader set of services. He also wants the company to prepare for AI without harming hosts or investors.
The Score Takes Care of Itself (2009)
Chesky cites the book to support his point that leaders should obsess over inputs and craft, not the scoreboard. He uses it to argue that perfecting the process is the path to growth.
AI-assisted summary of Invest Like The Best's podcast, verified against the original transcript.