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AI agents aren’t the ‘new Google,’ says Airbnb CEO
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AI agents aren’t the ‘new Google,’ says Airbnb CEO

Airbnb CEO Brian Chesky says AI chatbots aren't a replacement for Google search, highlighting AI's evolving role in travel booking and customer service.

August 8, 2025
5 min read
Sarah Perez

Airbnb CEO Brian Chesky says AI chatbots aren't a replacement for Google search, highlighting AI's evolving role in travel booking and customer service.

Airbnb CEO Brian Chesky has shared his perspectives on the evolving role of artificial intelligence, particularly AI chatbots, in the travel industry following a strong second-quarter earnings report. Chesky advised investors to temper their expectations regarding AI chatbots, cautioning against viewing them as a direct replacement for established search engines like Google. He noted that while AI chatbots can be valuable for generating new leads in travel and services, they currently do not possess the same referral power as dominant search platforms. "I think we’re still kind of feeling out the space," Chesky remarked during the Q2 earnings call. "The thing I want to caution is I don’t think that AI agents — I don’t think we should think of chatbots like Google — I don’t think we should think of them as the ‘new Google’ yet." A significant reason for this caution, Chesky elaborated, is the non-proprietary nature of the AI models powering popular chatbots. "We also have to remember that the model powering ChatGPT is not proprietary. It’s not exclusive to ChatGPT. We — Airbnb — can also use the API, and there are other models that we can use," he stated. Chesky further emphasized that success in the AI landscape hinges not solely on having the most advanced model, but crucially on the ability to tune it and develop custom interfaces tailored to specific applications. "One of the things we’ve noticed is it’s not enough to just have … the best model. You have to be able to tune the model and build a custom interface for the right application. And I think that’s the key," he explained. Airbnb is already actively integrating AI into its operations, with a particular focus on customer service. The company reported that its AI customer service agent in the U.S. has successfully reduced the percentage of guests requiring assistance from a human agent by 15%. Chesky highlighted the complexity of this application, noting that customer service AI must provide accurate and helpful responses without generating false information, a challenge often referred to as "hallucination." This AI customer service agent was developed using a combination of 13 different models and trained on tens of thousands of customer conversations. Currently available in English within the U.S., Airbnb intends to expand its availability to more languages this year. For the following year, the agent is expected to become more personalized and agentic, capable of not only guiding users through actions like reservation cancellations but also executing these actions on their behalf. It may also extend its capabilities to assist with trip planning and bookings. Looking ahead, Chesky revealed that AI will also be integrated into Airbnb’s search functionality in the coming year. Regarding potential partnerships with third-party AI agents, Airbnb remains open to integration, though no definitive plans have been finalized. Chesky also pointed out that users will continue to require an Airbnb account to complete bookings, irrespective of any third-party AI agent interactions. Chesky expressed optimism that AI is unlikely to commoditize Airbnb's business, unlike what has been observed in the flight booking industry. Instead, he anticipates AI will serve as a valuable channel for lead generation. "I think the key thing is going to be for us to lead and become the first place for people to book travel on Airbnb. As far as whether or not we integrate with AI agents, I think that’s something that we’re certainly open to," Chesky said. Despite beating analyst expectations with $3.1 billion in revenue and $1.03 earnings per share for the quarter, Airbnb's stock saw a dip following a forecast of moderated growth in the latter half of the year.
Source: AI agents aren’t the ‘new Google,’ says Airbnb CEO - Yahoo Finance

Frequently Asked Questions (FAQ)

AI and Search Engines

Q: Can AI chatbots replace search engines like Google entirely? A: According to Airbnb CEO Brian Chesky, AI chatbots are not yet a full substitute for the referral power of dominant search engines like Google. While they can generate leads, they don't fully replicate the search engine's comprehensive referral capabilities. Q: What makes AI chatbots different from search engines for lead generation? A: AI chatbots can initiate new leads, particularly in travel and services, but they are not yet seen as direct replacements for the broad reach and referral power of established search engines.

AI Model Proprietary Status

Q: Are the AI models used by companies like Airbnb proprietary? A: Chesky pointed out that models powering popular chatbots like ChatGPT are not proprietary. This means other companies, including Airbnb, can utilize their APIs, and there are also other AI models available for use. Q: Why is it important for AI models to be proprietary for a company's strategy? A: Proprietary AI models offer exclusivity and a competitive advantage. When models are not proprietary, companies like Airbnb can leverage them, but it also means that competitors can access similar capabilities, making differentiation through custom interfaces and model tuning crucial.

AI Implementation in Business

Q: What is key to success when implementing AI in a business? A: Success in AI implementation depends not only on having the best AI model but also on the ability to tune that model and build custom interfaces tailored for specific applications. Q: How is Airbnb leveraging AI in customer service? A: Airbnb has deployed an AI customer service agent that has reduced the need for human agent intervention by 15% in the U.S. This agent uses multiple AI models and is trained on extensive conversation data. Q: What are the challenges of using AI in customer service compared to travel planning? A: AI in customer service faces the challenge of requiring extreme accuracy and helpfulness without "hallucinating" (generating false information), which is a more critical requirement than in AI applications focused solely on travel planning. Q: What are Airbnb's future plans for its AI customer service agent? A: Airbnb plans to expand its AI customer service agent to more languages this year and will make it more personalized and agentic next year, enabling it to perform actions like reservation cancellations on behalf of users and assist with trip planning and booking. Q: When will AI be integrated into Airbnb's search functionality? A: Airbnb plans to integrate AI into its search functionality next year. Q: Does Airbnb have plans to partner with third-party AI agents? A: Airbnb is open to integrating with third-party AI agents, but specific plans have not yet been finalized. Users will still need an Airbnb account to complete bookings. Q: Will AI commoditize Airbnb's business? A: Airbnb's CEO believes AI is unlikely to commoditize their business, contrasting it with the flight booking industry, and sees AI more as an interesting lead generation channel.

Crypto Market AI's Take

The insights from Airbnb CEO Brian Chesky highlight a crucial nuance in the current AI landscape: the distinction between foundational AI models and their practical, application-specific implementations. While large language models (LLMs) are powerful, their true value in sectors like travel or finance is unlocked through customization and integration into user-friendly interfaces. This aligns with our philosophy at Crypto Market AI, where we focus on developing sophisticated AI agents tailored for the unique demands of the cryptocurrency market. Our platform leverages cutting-edge AI not just for market analysis but also for robust trading strategies, aiming to provide users with a secure and intelligent way to navigate the volatile crypto space. Understanding the difference between general AI capabilities and specialized AI tools is vital for investors and businesses alike. As Chesky points out, the key lies in tuning models and building custom interfaces. This is precisely what we strive to do with our AI agents, ensuring they are optimized for tasks such as identifying trading opportunities, managing risk, and executing strategies with precision. For those interested in exploring how AI can enhance their financial endeavors, our suite of AI-powered tools offers a glimpse into the future of intelligent finance.

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