Brian Chesky, the co-founder and CEO of Airbnb, is betting that the next major AI wave will be built for consumers, not for enterprise dashboards or developer tools. According to Speka, Chesky made the case in a recent interview, framing consumer-facing AI products as the industry's next platform-scale opportunity.
The claim carries a different kind of weight coming from him. Chesky runs one of the largest consumer platforms on the planet, not a model lab or an enterprise SaaS vendor, so his read on where AI spending goes next isn't coming from someone with a horse in the foundation-model race.
It also lands at an odd moment for the industry. Roughly three years into the generative AI boom, the products with the deepest daily usage are still overwhelmingly built for work — coding assistants, sales and support agents, internal copilots — while consumer AI beyond ChatGPT itself has struggled to produce a second true breakout.
Enterprise AI got the first wave, consumer AI is still waiting
Since ChatGPT's launch, the bulk of AI investment and adoption has concentrated on the workplace, not the living room. That pattern shows up clearly in what has actually stuck with users:
- AI coding assistants embedded directly into developer workflows
- Enterprise agents handling sales outreach, support tickets, and internal research
- Copilots bolted onto existing business software rather than sold as standalone apps
Consumer AI, by contrast, has largely stalled at the chatbot layer. Plenty of apps have launched with an AI assistant bolted on, but few have turned that into habitual, daily use the way people open a map, a messaging app, or a booking platform without thinking about it. Chesky's prediction is a bet that this gap is about to close — and that whoever closes it first captures a market at least as large as the enterprise AI wave that came before it.
Airbnb's own product is the closest evidence for the argument
Chesky isn't just speculating from the sidelines. Airbnb has spent the past couple of product cycles folding AI-style features — smarter trip search, itinerary suggestions, matching guests with co-hosts — directly into the core app that hundreds of millions of people already open to book travel, rather than shipping a separate chatbot product. That's the practical version of his thesis: incumbents with an existing daily or monthly habit are better positioned to introduce AI than a new app asking users to form a habit from zero.
Whether that pattern generalizes beyond travel is the open question. Airbnb, Uber, and similar consumer platforms have distribution and trust that a new entrant doesn't. A standalone consumer AI app still has to win the much harder battle: convincing someone to open a new icon on their home screen at all.
What this means for AI builders
If Chesky is right, the practical implications for anyone building consumer AI products right now are fairly concrete:
- Distribution beats model quality. An assistant embedded in an app people already open beats a better model trapped in an app nobody has downloaded yet.
- Retention, not novelty, decides winners. A demo that impresses once is worthless if there's no reason to come back the next day or the next week.
- Consumer pricing has to work for consumers. Seat-based enterprise pricing doesn't translate — subscriptions, transaction fees, or ad-supported models have to carry the business instead.
- Trust and personalization at consumer scale is a different engineering problem than enterprise permissioning, and it hasn't been solved as thoroughly.
AiiN's takeaway
Chesky's prediction is less about a new product category and more about who is positioned to win the next one. His argument implies the fight for consumer AI won't be won primarily by whoever ships the sharpest standalone chatbot, but by platforms that already own a daily habit and can quietly layer AI into it. In our estimation, that makes existing consumer platforms — travel, ride-hailing, shopping, messaging — a more likely battleground for the next AI cycle than a new wave of standalone AI apps.