Key Takeaways

  • Brian Chesky argues that current text-based chatbots are not truly disruptive to travel; they primarily serve as referral traffic, albeit converting higher than Google.
  • The real revolution for AI in travel will come in the “destination discovery” and “flights” stages, not just booking, by offering personalized suggestions like “Paris but affordable, good in August, I like Opera.”
  • This deep personalization requires a richer user interface that moves beyond text-only, incorporating elements like maps, videos, and detailed photos.
  • Chesky breaks down the travel journey into six distinct steps, pinpointing destination discovery and flights as the prime targets for truly disintermediating AI experiences.

AI's Next Frontier: Beyond Text Chatbots

Forget what you think you know about AI in travel. Brian Chesky, co-founder of Airbnb, just laid out a future where AI does far more than just book your next flight or hotel. It rewrites the entire discovery process. For Chesky, today’s chatbots, while useful, are still missing the point. “I think what I’m describing would disrupt travel… more than the current chat bots which are more acting like Google sending referral traffic,” he explained.

That referral traffic is converting better than Google, sure, making it additive to travel companies. But true disruption, according to Chesky, means re-thinking the user interface entirely. He outlines a simple, six-step framework for the travel journey:

1. Destination Discovery: Where should I travel?

2. Flights: How do I get there?

3. Where do I stay? (Airbnb or hotel)

4. What do I do? (Restaurants, activities)

5. Logistics: Car rental, services.

6. In-city spontaneity: Doing things on the fly.

Chesky believes AI will be “revolutionary” for steps one and two: destination discovery and flights. Large language models (LLMs) excel at processing complex, nuanced requests. Imagine asking for “somewhere that’s like Paris but it’s a little more affordable, it’s good to go in August, I like Opera.” The AI can deliver rich, personalized suggestions that today’s search engines or simple booking apps simply cannot.

Building for a Visual, Intuitive AI Future

Achieving this level of personalized discovery demands more than a text box. Chesky is adamant that the interface itself needs to evolve dramatically. “I think the current chatbot doesn't have really rich maps. I think it could do a lot more visually,” he stated. He envisions a future where AI interfaces are deeply integrated with visual elements, maps, and even video. “I think eventually chatbots or with this new interface could be very video-based. So, imagine a chatbot that was actually video-based or very very photo-based rather than a little less text based.”

This isn't just about making things look pretty. It's about providing richer context and an intuitive experience that helps users truly feel a destination before they commit. Current chatbots are limited by their text-first nature, acting as sophisticated search engines. But to truly disintermediate the travel journey and help users discover destinations in a fresh way, the AI experience needs to be immersive and visual. For founders building in AI or travel, this means thinking beyond prompt engineering and towards designing entirely new modes of interaction.

What to Do With This

If you're building in travel or consumer AI, stop thinking of chatbots as merely text interfaces for booking. Instead, pull your product team into a room and map out how you can integrate visual elements—interactive maps, short video clips, high-resolution photos—directly into your AI discovery flow within the next 90 days. Focus on enriching the user's "destination discovery" experience, making it intuitive and visually driven rather than just prompt-based.