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

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

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

August 7, 2025
5 min read
Sarah Perez

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

After a strong second-quarter earnings beat, Airbnb CEO Brian Chesky shared insights on the company’s evolving AI strategy, cautioning investors against viewing AI chatbots as the "new Google." Chesky explained that while AI chatbots have potential to drive new leads in travel and services, they are not yet a full replacement for the referrals and traffic generated by dominant search engines. "I think we’re still kind of feeling out the space," Chesky said during Airbnb’s 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." One key reason for this, he noted, is that the AI models powering popular chatbots like ChatGPT are not proprietary. "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," Chesky said. Looking at the broader AI landscape, Chesky highlighted that success will come not just from having the best AI model but from tuning it and building 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 leveraging AI in customer service. The company shared that its AI customer service agent in the U.S. has reduced the percentage of guests needing to contact a human agent by 15%. Chesky noted that building an AI agent for customer service was more challenging than for travel planning because the AI must be accurate and helpful without hallucinating. The AI customer service agent was developed using 13 different models and trained on tens of thousands of conversations. Currently available in English in the U.S., Airbnb plans to expand it to more languages this year and make it more personalized and agentic next year. This means the AI could handle tasks such as canceling reservations on behalf of guests or helping plan and book trips. AI will also be integrated into Airbnb’s search functionality next year, Chesky said. Regarding third-party AI agents, Airbnb has not finalized plans but is open to integration. Users still need an Airbnb account to complete bookings. Chesky emphasized that AI is unlikely to commoditize Airbnb’s business, unlike flight booking, but could serve as an interesting lead generation channel. "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," he said. Airbnb reported revenue of $3.1 billion and earnings per share of $1.03 for the quarter, beating analyst expectations. However, the stock dropped following a forecast of slower growth in the second half of the year.
Source: AI agents aren’t the ‘new Google,’ says Airbnb CEO - Yahoo Finance

Frequently Asked Questions (FAQ)

About AI Agents and Chatbots

Q: What is the difference between an AI agent and a chatbot? A: While often used interchangeably, AI agents are generally designed to be more autonomous and capable of performing complex tasks, whereas chatbots are typically conversational and respond to specific user queries. Q: Can AI chatbots fully replace search engines like Google? A: According to Airbnb CEO Brian Chesky, AI chatbots are not yet a full replacement for search engines like Google, as they don't yet generate the same level of referrals and traffic for services. Q: What makes an AI model proprietary, and why is it important? A: A proprietary AI model is one that is owned and developed by a specific company, making it unique and exclusive to their services. This exclusivity is important for companies like Airbnb to build custom applications and interfaces that are tailored to their specific needs, rather than relying on general-purpose models.

Airbnb's AI Strategy

Q: How is Airbnb currently using AI? A: Airbnb is currently using AI in its customer service, having developed an AI agent that has reduced the need for guests to contact human agents by 15%. They also plan to integrate AI into their search functionality next year. Q: What are the challenges in developing AI for customer service compared to travel planning? A: Developing AI for customer service is more challenging because the AI must be highly accurate and helpful without generating incorrect or fabricated information (hallucinating). Q: What is the future of AI integration at Airbnb? A: Airbnb plans to expand its AI customer service agent to more languages and make it more personalized and "agentic" (capable of handling tasks independently) next year. AI will also be integrated into their search functionality. Q: Is Airbnb open to integrating with third-party AI agents? A: Yes, Airbnb is open to integration with third-party AI agents, provided users 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, unlike flight booking, but it could serve as a valuable lead generation channel.

Crypto Market AI's Take

The insights from Airbnb's CEO highlight a crucial point in the evolution of AI: the distinction between broad language models and specialized, finely-tuned AI agents. At Crypto Market AI, we echo this sentiment. While powerful language models can provide general information and facilitate conversations, true value in specialized fields like finance and travel comes from AI agents that are trained on specific datasets and designed with tailored interfaces. Our platform focuses on developing precisely these kinds of AI agents for cryptocurrency trading and market analysis. We understand that success lies not just in the underlying AI model, but in its ability to be tuned for accuracy, context, and actionable insights within a specific domain. This approach is fundamental to our mission of revolutionizing finance through AI.

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