Hotels, AI, and Global Ambitions: Airbnb’s Next Chapter

Part 2 of a two-part series on Brian Chesky’s remarks at Skift’s Global Forum, September 2025

In Part 1, we explored how Airbnb CEO Brian Chesky outlined a “technical gut renovation” of the company at Skift’s Global Forum in New York this past September. Chesky described Airbnb’s plan to rebuild its architecture from the ground up, relaunch Experiences, and expand globally — all with the aim of transforming Airbnb from a single home-rental business into a multi-line global travel platform.

In this second installment, we’ll look at the next layer of that strategy:

• Airbnb’s push into boutique and independent hotels,
• the rollout of AI-powered tools across search and customer service, and
• how these initiatives fit into the company’s plan to reignite growth.

Expanding Into Boutique and Independent Hotels

For years, Airbnb has dabbled at the edges of hotel distribution, most notably with its 2019 acquisition of HotelTonight, but the focus remained overwhelmingly on home rentals. Chesky signaled a decisive shift at Skift: Airbnb now intends to bring hotels into the core booking experience — not as a separate product, but alongside home listings.

Chesky described a new pilot program launching in New York and several other cities, where curated boutique and independent hotels will be listed directly in Airbnb’s main search results through a carousel interface. This is Airbnb’s first organized, scaled effort to integrate hotels into its platform’s central flow rather than keeping them in a separate section.

“There’s a lot of room, and there’s an entire market and segment of people that aren’t being served or are not being served properly,” Chesky said. “We think we can serve them through collecting the very best boutiques, the very best independent hotels.”

Why Hotels — and Why Now?

The rationale is straightforward. When travelers can’t find a suitable home, Airbnb has seen that many book hotels elsewhere. By integrating hotels, the company can capture that demand instead of losing it to OTAs like Booking.com or Expedia.

Airbnb’s appeal to hotel partners is equally clear:

• Lower commission rates — Airbnb charges around 15.5%, the lowest in the industry. By comparison, smaller properties often pay 15–30% on OTAs.
• Large audience reach — the Airbnb app and site are accessed by 1.6 billion devices annually, offering strong exposure to younger, higher-income American travelers.
• Seamless integration — thanks to Airbnb’s rebuilt architecture (the “gut renovation” described in Part 1), hotels can plug into the existing system without Airbnb having to build a parallel platform.

This hotel strategy is especially appealing to independent and boutique hotels in Europe, where high OTA commissions have long been a point of friction. Early conversations, Chesky noted, have shown strong interest from European partners eager to tap into Airbnb’s guest base at lower cost.

Strategic Implications for Hosts

For hosts, the integration of hotels into Airbnb’s main search results has both competitive and collaborative implications.

On the competitive side, boutique hotels listed in core search could compete directly with entire-home STRs in urban markets. These hotels often offer professionalized service, reliable availability, and may appeal to travelers who prefer a more traditional hospitality experience but like Airbnb’s interface.

On the collaborative side, this expansion can bring more travelers onto the platform overall, increasing Airbnb’s relevance as a one-stop travel marketplace. Over time, this could lead to more diverse guest traffic, especially from travelers who traditionally book through hotel channels. For hosts in destinations with limited home supply, hotels may actually help fill gaps in platform inventory, drawing travelers who might not have considered Airbnb otherwise.

Chesky made clear that this isn’t a move away from homes — it’s a layering strategy, meant to build multiple business lines on top of the rebuilt foundation.

AI: Transforming Search, Service, and Scale

The second major initiative Chesky highlighted is Airbnb’s deep integration of AI across its platform. He views AI not just as a feature, but as an existential requirement for survival in the coming travel landscape.

“What you’re going to see from Airbnb next year is not for us to become an AI native app,” Chesky said. “You’re going to see our first foray into what I described as AI search. But eventually we, and every other app that wants to survive, has to be an AI app.”

1. AI Customer Service Bot

Earlier this year, Airbnb quietly rolled out an AI-powered customer service agent in the U.S. The bot, built on ten proprietary models trained on tens of thousands of conversations, has already reduced human contact volume by 15%. Unlike older chatbots that simply linked users to help pages, this system can handle tasks directly, such as cancellations or modifications, through new graphical cards and interactive flows.

This isn’t just about efficiency — it’s about scaling service as Airbnb grows into new business lines and geographies.

2. Conversational AI Search (Coming 2026)

Airbnb is also working on AI-powered conversational search, expected to roll out in 2026. This feature will allow travelers to interact with Airbnb more like they would with ChatGPT or Gemini, asking open-ended questions (“Where’s a great place to stay for two weeks near a surfing beach in February?”) and receiving structured, bookable recommendations in return.

Chesky believes this technology will fundamentally change how travelers plan and book trips, ushering in a “massive shift in travel” over the next 3–4 years. Instead of guests browsing page after page of listings, AI could act as a personalized trip planner and concierge — filtering, comparing, and curating results automatically.

Why This Matters for Hosts

For hosts, Airbnb’s AI evolution is a double-edged sword. On one hand, it promises smarter matching between guests and listings, potentially increasing booking efficiency and visibility for well-positioned properties. On the other hand, AI-driven search will likely change how listings are surfaced, moving away from simple filters and toward more holistic trip recommendations. This means listing quality, accuracy, and guest experience data will matter more than ever, as AI systems learn to prioritize properties that consistently deliver.

AI also holds potential on the operations side. If Airbnb expands AI tools to hosts, we may eventually see automated responses, pricing recommendations, or listing optimization features become more robust and integrated.

A Layered Growth Strategy

Taken together, Airbnb’s moves into hotels and AI represent the next stage of the company’s transformation.

• Hotels allow Airbnb to capture demand it was previously losing, diversify supply, and bring new partners into the ecosystem.
• AI allows Airbnb to scale globally, improve service efficiency, and transform how travelers search, plan, and book.

These initiatives are built on the same rebuilt platform Chesky described in Part 1 — a flexible architecture designed to support many lines of business simultaneously. It’s a clear signal that Airbnb isn’t content to remain a single-product company. It’s becoming a multi-vertical travel marketplace.

For hosts, this evolving landscape will bring both opportunities and challenges. Understanding these shifts early can help us position our listings, services, and operations for the Airbnb of the next decade.