Airbnb, Inc. (ABNB)
Online stays and experiences marketplace, 8,200 employees. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed February 12, 2026. Ranked 1 of the 161 Consumer Cyclical companies read so far, by the share within reach now.
Within reach now
36%
End of 2028
57%
Employees, annual report
8,200
Leading staffing pattern
Travel Arrangement and Reservation Services
Share of the working time within reach, long-run pace, four times in five
- Now36%
- End of 202752%
- End of 202857%
- End of 203058%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 40%
- Becomes checking a model's work 47%
- Handed over with lighter checks 11%
A travel platform whose filing states 8,200 employees beside 13,000 third-party support workers it keeps apart, with nothing by kind of work, so the whole workforce is read at travel reservation services.
The figures on this page come from the company's own annual report and from BLS staffing patterns for its industries, never from a roster. They are estimates with a stated method. Nothing here says what the company will do: within reach is not a forecast of jobs lost or of savings.
What follows from the reading
Share of working time within reach of AI, on the long-run pace at four in five: 36% now, 52% at the end of 2027, 57% at the end of 2028, 58% at the end of 2030. By the patterns, the work is about 58% desk work, 32% people work and 10% body work. These are the site's industry estimates weighted by the shares below: estimates with a stated method and range, not a forecast of what the company will do. By the same patterns, at the end of 2028 about 40% of the working time stays with people (conversation, in-person and hands-on work), 47% becomes checking a model's work and 11% could be handed over with lighter checks, from the industries' own figures, not the company's roles.
Headcount
8,200 employees as of December 31, 2025 (stated). Not stated: the filing counts no employees by country; most can work remotely under its Live and Work Anywhere policy.
The filing: “As of December 31, 2025, we had approximately 8,200 employees.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Travel Arrangement and Reservation Services | 100% | By description (c): the filing describes a platform through which guests book stays, experiences and services from hosts, travel reservation services as the site reads Booking and Expedia, with no count by kind of work, so the whole workforce is read there. |
What the filing says about the workforce: Approximately 8,200 employees as of December 31, 2025 (7,300 a year earlier); about 13,000 third-party workers handle most community support contacts and are not employees; the vast majority of employees may work remotely.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Travel Arrangement and Reservation Services, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.
- Global Business Travel Group, Inc. (GBTG, 27,000 employees)34% now, 59% by 2028
- Booking Holdings Inc. (BKNG, 24,300 employees)36% now, 57% by 2028
- Expedia Group, Inc. (EXPE, 16,000 employees)36% now, 57% by 2028
What the filing says about AI
45 sentences in the filing name AI. The filing says it launched a redesigned app with AI-powered personalization and unified search and booking, that its use of artificial intelligence and machine learning gives rise to legal, business and operational risks, and names AI among the laws that govern its business.
- “We are subject to a wide variety of laws, regulations, and rules applicable to short-term rental, experiences, services, long-term rental, and home sharing businesses, or that govern our business practices, including among others, e-commerce, data privacy and cybersecurity, artificial intelligence, payment services, advertising, consumer protection, employment, licensing requirements, and comme...”
- “Our use of artificial intelligence and machine learning gives rise to legal, business, and operational risks.”
- “In 2025, we launched a redesigned app experience featuring unified search and booking for all offerings, artificial intelligence ("AI")-powered personalization, and integrated social features that allow guests to connect with co-travelers or experience attendees.”
- “During 2025, we expanded the use of AI-powered customer service and support features to help more quickly and effectively resolve issues for both hosts and guests.”
- “AI capabilities now assist in risk assessment and rapid fraud and scam detection, supplementing our existing review, watchlist, and background check procedures.”
Its annual reports, year by year
Sentences naming AI in each annual report, counted by one rule, beside the median report in the Index that year. Each count links its filing. Every company, by year and sector
- Fiscal 20218median 0
- Fiscal 202210median 0
- Fiscal 202336median 1
- Fiscal 202447median 4
- Fiscal 202545median 10
Headcount by filing year
As reported in each year's annual report, with the filing. A year marked not read had no figure the reading could take from the report's text.
| Period | Employees | Filed | Filing |
|---|---|---|---|
| 2025-12-31 | 8,200 | 2026-02-12 | 10-K |
| 2024-12-31 | 7,300 | 2025-02-13 | 10-K |
| 2023-12-31 | 6,907 | 2024-02-16 | 10-K |
| 2022-12-31 | 6,811 | 2023-02-17 | 10-K |
| 2021-12-31 | 6,132 | 2022-02-25 | 10-K |
| 2020-12-31 | 5,597 | 2021-02-26 | 10-K |
Limits of this reading
- About 13,000 third-party community support workers are not employees and are not counted (rule 8).
- The U.S. share is not stated.
Source: the company's annual report on EDGAR, accession 0001559720-26-000004, the filing. Read by Claude Fable 5.1 under rubric version 1, by the method. A company can write to info@stratussc.com to have its reading checked against its filing.
The report on Airbnb, Inc., $29
This page as a document to keep, with what it does not show: the share within reach at every date on three paces and two reliabilities, a typical workforce of this shape at the stated headcount role by role and task by task (the industries' staffing, never the company's roster), where to start, what changes for the people and what they would learn, every sentence in the filing that names AI, the headcount by year, the companies read with the same leading pattern, the method and a citation line. To print or save as a PDF, open again in your browser for a year.
See the report, $29See the sample first: Walmart's report is free
Questions about this company
- How much of Airbnb, Inc.'s working time is within reach of AI?
- An estimated 36% now and 57% by the end of 2028, on METR's long-run pace at four in five, from the workforce Airbnb, Inc.'s own annual report describes and BLS staffing patterns for its industries, never from a roster. It is an estimate with a stated method. It is not a forecast of jobs lost or of savings, and it says nothing about what the company will do.
- How many people does Airbnb, Inc. employ?
- 8,200 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states.
- What kinds of work make up Airbnb, Inc.'s workforce?
- Read from its annual report as a blend of 1 industry staffing pattern, the largest Travel Arrangement and Reservation Services; by those patterns the work is about 58% desk work, 32% people work and 10% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does Airbnb, Inc.'s annual report say about AI?
- 45 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 8, 10, 36, 47 and 45 sentences, year by year. They are counted and quoted on this page, never judged: a count says how much a filing talks about AI, not what the company does with it.
- How is this estimated?
- Claude Fable 5.1 read the annual report under the Index's written rubric (version 1) on October 19, 2026: the stated headcount, the share in the U.S. when stated, and the workforce as a blend of industry staffing patterns. The estimates are the site's industry estimates weighted by those shares, from O*NET tasks with estimated lengths and METR's measurements of how long a task AI models can finish. A company can write to info@stratussc.com to have its reading checked against its filing.
Embed these figures on your site
A small card with the share of working time within reach now and at the end of 2027, 2028 and 2030, the date and a link back. Free under CC BY 4.0; the card carries the credit.