Airbnb
Airbnb's AI support agent resolves about a third of issues and leans on Alibaba's Qwen
Airbnb runs an AI customer service agent that, in its Q4 2025 results release, resolved about a third of issues without a human agent in the US, Canada and Mexico. CEO Brian Chesky said the company relies heavily on Alibaba's open Qwen models, alongside other models. A US House inquiry later questioned that choice.
Key figures
Copied exactly from the sources. Copy any figure with its citation.
about a third
Share of issues resolved without needing a human agent when users message Airbnb's AI assistant (Airbnb's Q4 2025 results release)1
15%
Reduction in the share of hosts and guests who had to reach a person, as the AI agent expanded to 100% of US users (Q2 2025 letter)2
13
Number of different AI models Airbnb reportedly uses to build its service bot, including some from OpenAI and Google4
What it took
Cost, team size and timeline were not disclosed in the sources.
The problem
Airbnb serves guests and hosts in several languages and markets, and every support contact that reaches a person adds to its customer service cost base. The company wanted more issues resolved without a human agent.
What they built
Airbnb built its own AI customer service agent. Users message an AI assistant, and the issue is resolved without a human agent when the assistant can handle it. By Q2 2025 the agent served all US users. By the Q4 2025 results release it covered English, French and Spanish speakers in the US, Canada and Mexico.
CEO Brian Chesky told Bloomberg that Airbnb relies heavily on Alibaba's Qwen models. Qwen is an open-weight model family, meaning its files are published so a company can run and adapt them. Chesky described Qwen as "fast and cheap." He also said ChatGPT's integration was not quite ready for Airbnb's needs. A report relayed by MENA Startup Digest says Airbnb uses 13 models in total, including ones from OpenAI and Google.
How they did it
The sources describe a staged rollout rather than a single launch. The agent reached all US users in Q2 2025, then moved to Canada, Mexico and more languages. Airbnb says it plans a global rollout later in 2026.
The sources do not give a budget, team size or build timeline. They also do not say which Qwen version Airbnb uses or where it runs.
Results
In Q2 2025 Airbnb said the agent lowered the share of hosts and guests who had to contact a person by 15%. In its Q4 2025 results release it reported that about a third of issues were resolved without needing an agent, with a significant drop in resolution time. TechCrunch repeated the one-third figure from the earnings call, where Chesky said the cost base of customer service would fall and quality would rise.
Airbnb aims for AI chat and voice to handle more than 30% of all tickets within a year, in every language where it has human agents.
What went wrong
In April 2026 two US House committees wrote to Airbnb about its use of Qwen. They cited national security and data security concerns and asked which Chinese models Airbnb uses and how data reaches them. The letter is an inquiry. It does not report a violation, and Airbnb's reply is not in the sources.
What to copy
Report two numbers on a regular basis: the share of issues the agent closes alone and the change in contacts reaching people. Expand one market and language at a time. Review a model's origin and hosting with your legal and security teams before you commit to it.
Lessons for your project
Track the share of issues the agent closes without a person, and the drop in contacts to human agents. Airbnb reports both, which makes progress easy to compare quarter to quarter.
Roll out by market and language. Airbnb went to all US users first, then added Canada and Mexico and three languages, and holds off a global launch.
Use several models and pick by task. Airbnb says it uses many models, and values Qwen for speed and low cost.
Check political and regulatory exposure before you choose a model's origin. Airbnb's choice drew a US congressional inquiry.
Caveats
- The resolution rate and the 15% contact reduction are Airbnb's own statements. TechCrunch repeats the one-third figure from the earnings call, but no outside party has audited either number.
- The Airbnb pages do not mention Qwen. The Qwen statement comes from CEO Brian Chesky's remarks to Bloomberg (paywalled, not read) as relayed by MENA Startup Digest, and the House letter cites the same Bloomberg report. The pages do not say Qwen is the model behind the one-third figure.
- The Qwen version and whether Airbnb self-hosts it or calls it through an API are not disclosed. Airbnb is reported to use 13 models in total, so Qwen is only one part.
- The sources give no launch date for the agent. Airbnb's Q2 2025 letter describes expansion to all US users, so the deployed date is shown as 2025 only. The Q2 2025 letter page prints no publication date, only the date of the earnings webcast, so no source date is given for it.
- The April 2026 House letter is a request for information from two committees, not a finding of wrongdoing. Airbnb's response is not in the sources used.
- Airbnb expects AI to handle more than 30% of all tickets within a year in every language where it has human agents. This is a stated aim, not a result.
Sources
- Airbnb Q4 2025 financial results
Airbnb Newsroom · 2026-02-12 · Press release · news.airbnb.com
- Q2 2025 Shareholder Letter (Form 8-K, Exhibit 99.1)
Airbnb, via SEC EDGAR · Undated · Filing · sec.gov
- Airbnb says a third of its customer support is now handled by AI in the US and Canada
TechCrunch · 2026-02-13 · News · techcrunch.com
- Airbnb Selects Alibaba's Qwen AI Over ChatGPT For Customer Service Needs
MENA Startup Digest (relaying Bloomberg and Tech in Asia) · 2025-10-23 · News · menastartupdigest.com
- Letter to Airbnb CEO Brian Chesky on PRC-developed AI models
House Committee on Homeland Security and House Select Committee on the CCP · 2026-04-29 · Filing · homeland.house.gov
Summarized in our own words from the sources above. Spotted an error? See corrections.