CarMax, Inc. (KMX)
Used car retailing, 27,796 associates. Read October 3, 2026 from the annual report for the period ending February 28, 2026, filed April 15, 2026. Ranked 28 of the 75 Consumer Cyclical companies read so far, by the share within reach now.
Within reach now
22%
End of 2028
30%
Employees, annual report
27,796
Leading staffing pattern
Automobile Dealers
Share of the working time within reach, long-run pace, four times in five
- Now22%
- End of 202728%
- End of 202830%
- End of 203030%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 70%
- Becomes checking a model's work 20%
- Handed over with lighter checks 9%
The filing counts the finance and Edmunds associates, so they take their shares by count (a) and the rest is the dealer pattern.
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: 22% now, 28% at the end of 2027, 30% at the end of 2028, 30% at the end of 2030. By the patterns, the work is about 30% desk work, 20% people work and 50% 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 70% of the working time stays with people (conversation, in-person and hands-on work), 20% becomes checking a model's work and 9% could be handed over with lighter checks, from the industries' own figures, not the company's roles.
Headcount
27,796 employees as of February 28, 2026 (stated). Not stated; a U.S. used car retailer with no count by country in the filing.
The filing: “On February 28, 2026, we had a total of 27,796 full- and part-time associates, of which 942 work in our CAF segment and 488 work for our Edmunds business.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Automobile Dealers | 95% | The stores, customer experience centers, auction and reconditioning operations: 26,366 of 27,796 after the counted finance and Edmunds associates, by the filing's counts (a). |
| Nondepository Credit Intermediation | 3% | 942 associates in the CarMax Auto Finance segment, by the filing's count (a); under five percent but counted (rule 5). |
| Web Search Portals, Libraries, Archives, and Other Information Services | 2% | 488 associates in the Edmunds business, an automotive information website, by the filing's count (a); under five percent but counted (rule 5). |
What the filing says about the workforce: 27,796 full- and part-time associates: 23,888 hourly and salaried, 2,915 in-store sales associates, 879 customer experience center sales associates and 114 Edmunds sales associates; 942 in CarMax Auto Finance and 488 at Edmunds; 1,308 technology, product and data science associates; no collective bargaining agreement.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Automobile Dealers, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.
- Lithia Motors, Inc. (LAD, 30,000 employees)21% now, 28% by 2028
- Penske Automotive Group, Inc. (PAG, 27,700 employees)21% now, 28% by 2028
What the filing says about AI
11 sentences in the filing name AI. Eleven sentences: Skye, its AI-powered virtual assistant for customers, data science, AI and machine learning used to run the business, and the risk of not realizing the benefits of AI initiatives.
- “Our inability to realize the benefits associated with our omni-channel platform or initiatives designed to leverage evolving technologies, including AI.”
- “A customer may interact online via our website and mobile app with Skye (our AI-powered virtual assistant) or with our customer experience consultants via phone, text messages or chat.”
- “We use advanced data science, AI and machine learning capabilities to optimize our business and the customer experience.”
- “In addition, technology related to generative AI is advancing rapidly, and its future impact on the automotive ecosystem, including online shopping behavior, is unknown.”
- “These events could relate to, among other things, our sales or financing practices, vehicle reconditioning or quality, treatment of customers or associates, use of AI or other technologies, cultural brand positioning or real or perceived safety issues or injuries.”
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 20213median 0
- Fiscal 20221median 0
- Fiscal 20235median 1
- Fiscal 20249median 4
- Fiscal 202511median 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 |
|---|---|---|---|
| 2026-02-28 | 27,796 | 2026-04-15 | 10-K |
| 2025-02-28 | 30,048 | 2025-04-11 | 10-K |
| 2024-02-29 | 29,836 | 2024-04-15 | 10-K |
| 2023-02-28 | 30,621 | 2023-04-13 | 10-K |
| 2022-02-28 | 32,647 | 2022-04-14 | 10-K |
| 2021-02-28 | 26,889 | 2021-04-20 | 10-K |
| 2020-02-29 | 27,050 | 2020-04-21 | 10-K |
| 2019-02-28 | 25,946 | 2019-04-19 | 10-K |
| 2018-02-28 | 25,110 | 2018-04-24 | 10-K |
| 2017-02-28 | 24,344 | 2017-04-21 | 10-K |
| 2016-02-29 | 22,429 | 2016-04-22 | 10-K |
| 2015-02-28 | 22,064 | 2015-04-24 | 10-K |
| 2014-02-28 | 20,171 | 2014-04-25 | 10-K |
| 2013-02-28 | 18,111 | 2013-04-26 | 10-K |
| 2012-02-29 | 16,460 | 2012-04-25 | 10-K |
| 2011-02-28 | 15,565 | 2011-04-28 | 10-K |
| 2010-02-28 | 13,439 | 2010-04-27 | 10-K |
| 2009-04-09 | 13,035 | 2009-04-24 | 10-K |
| 2008-02-29 | 15,637 | 2008-04-25 | 10-K |
| 2007-02-28 | 13,736 | 2007-04-27 | 10-K |
| 2006-02-28 | 9,181 | 2006-05-12 | 10-K |
| 2005-02-28 | 8,522 | 2005-05-13 | 10-K |
| 2004-02-29 | 7,269 | 2004-05-14 | 10-K |
| 2003-02-28 | 6,310 | 2003-05-29 | 10-K |
Limits of this reading
- Technology, product and data science associates (1,308) are a skill count inside the dealer pattern, not a pattern of their own.
Source: the company's annual report on EDGAR, accession 0001170010-26-000021, 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.
Questions about this company
- How much of CarMax, Inc.'s working time is within reach of AI?
- An estimated 22% now and 30% by the end of 2028, on METR's long-run pace at four in five, from the workforce CarMax, 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 CarMax, Inc. employ?
- 27,796 as of February 28, 2026, as its annual report for the period ending February 28, 2026 states.
- What kinds of work make up CarMax, Inc.'s workforce?
- Read from its annual report as a blend of 3 industry staffing patterns, the largest Automobile Dealers; by those patterns the work is about 30% desk work, 20% people work and 50% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does CarMax, Inc.'s annual report say about AI?
- 11 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 3, 1, 5, 9 and 11 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 3, 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.