Airbnb, after a deliberate approach, is now set to significantly embed artificial intelligence capabilities within its platform. CEO Brian Chesky announced on Friday that the company intends to integrate large language model (LLM)-powered features designed to enhance user experience across various functions, including listing discovery, comprehensive trip planning, and assisting hosts with property management.
During the company’s fourth-quarter conference call, Chesky emphasized Airbnb's commitment to leveraging large language models more extensively for customer discovery, improving support mechanisms, and bolstering engineering efforts.
"We are building an AI-native experience where the app does not just search for you. It knows you," Chesky stated, outlining a vision where the platform will empower guests to plan their entire journeys, enable hosts to operate their businesses more effectively, and facilitate the company's efficient scaling.
In a related development, Airbnb has also confirmed it is piloting a new feature that permits users to inquire about properties and locations using natural language queries, moving beyond traditional keyword searches.
Currently, Airbnb utilizes an LLM-powered customer service bot for certain personalization and communication tasks. The newly introduced AI search functionality is poised to evolve into a "more comprehensive and intuitive search experience that extends through the trip," offering deeper integration and utility.
When questioned by an analyst regarding the potential introduction of sponsored property listings within AI search results, Chesky clarified that the company's immediate focus is on perfecting the design and user experience.
"AI search is live to a very small percentage of traffic right now. We are doing a lot of experimentation," Chesky explained. He elaborated on future plans, stating, "Over time, we are gonna be experimenting with making AI search more conversational, integrating it into more than the trip, and, eventually, we will be looking at sponsor listings as a result of that," adding that Airbnb would also explore designing an ad unit specifically tailored to a conversational search flow.
Chesky further highlighted Airbnb's intention to leverage the AI expertise of its new CTO, Ahmad Al-Dahle, previously involved with Meta’s Llama models. This strategic hire aims to utilize Airbnb's extensive identity and review data to significantly enhance the app's utility.
Airbnb reported that its AI-powered customer support bot, introduced in North America last year, now autonomously resolves one-third of customer issues without requiring human intervention. Chesky revealed plans to enable customers to contact the AI bot via voice and to broaden its language support capabilities for customer service.
"A year from now, if we are successful, significantly more than 30% of tickets will be handled by a custom service agent, in many more languages, in all the languages where we have live agents," Chesky projected. He concluded, "AI customer service will not only be chat, it will be voice," signaling a comprehensive expansion of AI's role in support.
Internally, the company is also aiming to increase AI adoption. While 80% of Airbnb's engineers currently utilize AI tools, the objective is to achieve 100% integration across the engineering team.
Financially, Airbnb announced better-than-expected revenue for the fourth quarter, reaching $2.78 billion, marking a 12% increase from the previous year.
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