
Brian CheskyCo-founder & CEO
In this interview, Brian Chesky, co-founder and CEO of Airbnb, sits down with Marina Mogilko to detail Airbnb's transformation into an AI-native company. He breaks down why conversational chatbots fail at travel and comparison shopping, how intelligent software agents will replace static apps, and the launch of over 700 new features. Chesky also reveals his ruthless daily creative routines, the discipline of high-volume idea generation, and why focused builders will thrive in the emerging AI landscape.
Founder Stats
- Marketplace
- Started 2008
- Approx. 1.02 Billion USD/mo
- 8000+ team
- San Francisco, California, USA
About Brian Chesky
Brian Chesky is the co-founder and Chief Executive Officer of Airbnb, a global marketplace valued at approximately 95 billion USD. Trained as an industrial designer at the Rhode Island School of Design, Chesky co-founded Airbnb in 2008 and grew it from renting air mattresses in a San Francisco apartment into a Fortune 500 company operating across 220 countries. Under his product-focused leadership, Airbnb navigated the pandemic crisis and pioneered AI-driven travel discovery.
Interview
October 05, 2026
What does it actually mean for Airbnb to become an AI-native company from the ground up?

It means modernizing every touch point of the application to make it substantially more intelligent and easier to use. Rather than simply bolting on a conversational interface, we are embedding intelligence across the entire user journey. When a guest opens the platform, they can use natural language to describe their ideal trip, the view they want, the architecture, and who they are traveling with. The platform will serve up results, prefilter homes according to their exact preferences, generate custom summaries tailored to what they care about, and allow them to ask questions directly to the listing page. On the host side, the application acts like an autonomous coach that understands their financial goals and assists with pricing.
Why do you believe traditional text-based chatbots are completely wrong for travel and shopping?

Chatbots are fundamentally text-based, which makes visual comparison shopping painful. Travel is multiplayer, browse-oriented, and visual. The average Airbnb booking involves three people traveling together who need to share listings, toggle filters, inspect photos, and compare tradeoffs like location versus amenities side by side. When you use a chatbot, you lose that visual overview. You cannot see what happens to your inventory when you turn off a single filter. Chatbots are a specific conversational user interface, not the destination for complex commerce. We had to build an interface that feels responsive and conversational without sacrificing the rich, visual navigation tools guests need.
How are you re-engineering the Airbnb search and discovery experience for guests using AI?

We built natural language search where you can describe complex trips naturally, and the system automatically configures the filters for you. When you view a property, we now produce AI-generated highlights personalized to your travel history and specific needs, explaining exactly why you will appreciate that specific home. At the bottom of each listing, an intelligent assistant can answer granular questions about the property instantly without needing to message the host. We also introduced side-by-side comparison tools to evaluate multiple homes simultaneously across ratings, amenities, and pricing, alongside interactive neighborhood maps that surface local insights across global destinations.
How is AI transforming the experience for hosts who manage properties on the platform?

We are evolving the host interface from a passive administrative dashboard into an intelligent partner. The platform behaves like an agent that understands a host's specific objectives, whether that is maximizing occupancy, earning a target monthly income, or optimizing for longer stays. It provides smart dynamic pricing recommendations based on real-time market demand and automates routine guest inquiries. By handling administrative overhead, we empower hosts to concentrate on providing exceptional hospitality in the physical world.
You draw a sharp distinction between AI chatbots and AI agents. What is the fundamental difference?

People often conflate agents and chatbots because the earliest agents happened to use chat windows, but they are entirely different concepts. A chatbot is simply a conversational user interface. An agent is a fundamental evolution of software. An agent is an intelligent, proactive application that deeply understands you, anticipates your context, takes actions on your behalf, and can communicate with other agents. Chatbots are reactive and text-bound, whereas agents can take any interface form factor, visual, tactile, or voice, and coordinate complex tasks autonomously.
Why are you re-introducing a social travel graph into Airbnb when major networks have moved away from it?

When I moved to Silicon Valley nearly two decades ago, platforms like Facebook were genuine social networks where you kept up with real friends. Today, platforms like Instagram, TikTok, and X are broadcast and performance media rather than social networks. There is no longer a dedicated place online to see where your actual circle of friends and family has traveled. Travelers increasingly trust recommendations from people they know over influencers or anonymous reviews. By introducing a travel graph, you can see which of your friends have visited a city like Chicago, view the properties they booked, ask for their favorite spots, and even coordinate trips to meet offline in the physical world.
You are shipping approximately 80 percent more features than last year. How has AI accelerated that product velocity?

A few years ago, every line of software had to be written by hand, meaning launching a new service or major capability often took an entire year. Today, our teams can design, prototype, and ship features in weeks. AI tools allow ideas to move from concept to functional reality at unprecedented speeds. However, velocity is not just about writing code faster; it requires a culture where teams actually embrace these tools and apply rigorous product thinking. The customer never cares whether software was built with AI. They only care whether the product solves their problem better and faster.
Airbnb is expanding into full-service offerings like baby gear, laundry, and equipment. What is the vision there?

Guests love the unique character of staying in private homes, but they frequently miss the standardized conveniences of luxury hotels. We realized we could offer everything a hotel provides and significantly more. If you travel with young children, you can have verified cribs and baby gear waiting in the house instead of hoping a hotel has one left. If you are taking a ski vacation, your fitted boots and skis can be delivered directly to the property before you arrive. By integrating services like groceries, laundry, catering, and airport pickups, we turn every home into a full-service hospitality experience.
How can local small business owners and solo entrepreneurs leverage Airbnb's new services platform?

Historically, local service providers like massage therapists, private chefs, or family photographers in destinations like Tulum or Paris only reached clients through word of mouth or by working for a resort. Our platform provides them with a global distribution engine. Just as Airbnb enabled everyday homeowners to run hospitality businesses, our services marketplace allows independent operators to broadcast directly to millions of international travelers arriving in their city, handling discovery, trust, payments, and scheduling.
How do you evaluate and test new service ideas before rolling them out globally?

We incubate every new concept in a single localized market first. For instance, we piloted ski equipment delivery in Italy before expanding it to other winter destinations. We look for whether the offering creates disproportionate delight, solves a genuine operational headache for travelers, and runs reliably. Once the mechanics and customer satisfaction are proven in one geography, we standardize the workflow and roll it out globally across our network.
You mentioned tech companies initially tracked AI adoption via token leaderboards. Why was that approach flawed?

Earlier this year, tech leadership fell into the trap of measuring AI adoption through internal token consumption leaderboards, essentially shaming employees who were not generating enough tokens. That was a superficial management tactic that failed to survive scrutiny. Companies quickly realized that burning compute tokens does not equal creating customer value. What matters is product velocity, the quality of what you ship, and whether users love the outcome. Activity should never be confused with output.
Why do you argue that AI widens the performance gap between top performers and average performers?

AI is an amplifier, not an equalizer. Everyone in technology today has access to the exact same foundational models and coding tools, just like every graphic designer once had access to Photoshop. The tools are completely democratic, but the output is not. High performers with exceptional curiosity, domain expertise, and clear thinking use AI to execute at ten times their previous speed. For someone with mediocre ideas or poor product judgment, AI merely automates mediocrity faster. Taste, user empathy, and strategic judgment matter far more now because raw execution has been commoditized.
You write down approximately 100 ideas a day. What does your personal ideation and filtering process look like?

I keep a notebook and write down roughly one thousand words a day, which equates to about one hundred thoughts or ideas daily, or over thirty thousand a year. Most of them are terrible. At the end of every day, I review the list and bold the handful of lines that genuinely jump off the page. At the end of each month, I use AI to analyze all the bolded entries, identify recurring patterns, and synthesize them into a short list. The beauty of great ideas is that they refuse to die. A truly valuable idea keeps resurfacing in your notebooks month after month until you are forced to build it.
What creative disciplines and historic creators do you study to maintain your creative output?

Great creative work is always a function of sheer volume followed by ruthless editing. Leonardo da Vinci filled countless notebooks with writing and sketches, yet completed fewer than fifteen paintings in his lifetime. Vincent van Gogh produced more than one canvas a day during his most prolific final years. Ernest Hemingway wrote every morning from six until noon without stopping. Linus Pauling noted that the best way to have a good idea is to have a lot of ideas. You must cultivate the discipline to produce enormous volume without self-censorship, and then curate mercilessly so the world only ever sees your finest work.
Why do you consider smartphones the enemy of focus, and how should builders manage their screen time?

Mobile phones were never designed for deep work or sustained contemplation. Their small form factor conditions our brains for fragmented dopamine hits, continuous multitasking, and rapid scrolling. Attention span is directly commensurate with screen size. In an IMAX theater you sit enthralled for three hours; on a laptop you can focus for hours; on a smartphone you scroll after fifteen seconds. If you want to build enduring things, work on a large desktop screen, put physical blinders on, and restrict social media browsing to twenty focused minutes a day rather than checking feeds twenty-five times.
If you were 26 years old today in the AI era instead of 2008, what kinds of businesses would you build?

I would be thrilled to start today because the creation tools are infinitely more capable than what we had in the mobile era. I am fascinated by the intersection of AI with personalized education, rich visual storytelling, and healthcare. I would actively avoid building conversational text chatbots. Trying to squeeze the most transformative technology in human history into a text messaging window is like strapping a jet engine onto a bicycle. The next generation of trillion-dollar companies will design rich, visual, multimodal interfaces that mirror how human beings naturally perceive the world.
What advice would you give to professionals outside Silicon Valley who feel intimidated by the pace of AI?

Do not view AI as something that is happening to you from the outside; recognize it as power placed directly into your hands. Building a company or learning a new skill is dramatically more accessible now than at any point in history. The barrier is largely psychological. If you feel intimidated, approach it like jumping into a pool. The water only looks freezing before you dive in. Find someone who knows slightly more than you, ask for a thirty-minute tutorial, use free tutorials online, and start prompting. Once you are in the water, you quickly realize how warm it is, and the only rule is to never get out.
Table Of Questions
Video Interviews with Brian Chesky
Brian Chesky: The Signs AI Will Make You Rich (Check If You're In)
Cite This Interview
Use this interview in your research, article, or academic work
Related Interviews

Adam Neumann
Founder & CEO at WeWork
In this interview, Adam Neumann, co-founder of WeWork and founder of Flow, sits down with Steven Bartlett for his most candid conversation to date. He…

Ritesh Agarwal
Founder & Group CEO at OYO
In this interview, Ritesh Agarwal discusses why global tourism is entering a new growth era driven by AI, rising prosperity, and increased travel demand. He…

Brandon Bonifacio
Founder & CEO at NevGold Corp
In this interview, NevGold founder and CEO Brandon Bonifacio explains how the company is positioning itself to become a leading domestic antimony producer in the…

Sheila Huff
CEO at Huff's Towing & Recovery
In this interview, Sheila Huff shares the challenge of leading a third-generation family business through a difficult transition after losing a longtime general manager. She…

Gabe Karp
Co-Founder at VryfID
In this interview, VryfID co-founders Gabe and Aiden Karp discuss a recent antisemitic incident that emerged during their internship hiring process. They share how the…

Dalton Caldwell
Managing Partner at Y Combinator
In this conversation, Y Combinator Managing Partner Dalton Caldwell discusses the myth of getting rich quickly through startups. He explains why most successful founders spend…