Equifax Inc. (EFX)
Credit bureau with counted technology centers. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed February 19, 2026. Ranked 2 of the 175 Industrials companies read so far, by the share within reach now.
Within reach now
42%
End of 2028
60%
Employees, annual report
15,000
Leading staffing pattern
Business Support Services
Share of the working time within reach, long-run pace, four times in five
- Now42%
- End of 202755%
- End of 202860%
- End of 203062%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 38%
- Becomes checking a model's work 44%
- Handed over with lighter checks 15%
The filing counts 15,000 employees by unit, 10,700 in its data businesses and 4,300 in corporate centers of excellence, so every pattern is a counted part.
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: 42% now, 55% at the end of 2027, 60% at the end of 2028, 62% at the end of 2030. By the patterns, the work is about 62% desk work, 28% 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 38% of the working time stays with people (conversation, in-person and hands-on work), 44% becomes checking a model's work and 15% could be handed over with lighter checks, from the industries' own figures, not the company's roles.
Headcount
15,000 employees as of December 31, 2025 (stated). Not stated; the International unit's 4,800 and the support centers in Chile, Costa Rica, India and Ireland are abroad, and U.S. revenue is 88%.
The filing: “Equifax employed approximately 15,000 employees in 22 countries as of December 31, 2025: approximately 3,100 in Workforce Solutions, 2,800 in USIS, 4,800 in International and 4,300 in the corporate Centers of Excellence.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Business Support Services | 71% | The filing counts 3,100 employees in Workforce Solutions, 2,800 in USIS and 4,800 in International (a), the credit, income and employment data businesses, which NAICS counts as credit bureaus (561450) in business support services. |
| Management of Companies and Enterprises | 29% | The filing counts 4,300 employees in its corporate Centers of Excellence, including the support centers in Chile, Costa Rica, India and Ireland (a), a stated corporate count read at management of companies under rule 6. |
What the filing says about the workforce: 3,100 Workforce Solutions, 2,800 USIS, 4,800 International, 4,300 corporate Centers of Excellence; about 2,700 hired and 1,800 promoted in 2025; 22 countries; no hourly, part-time or union figure stated.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Business Support 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.
- Concentrix Corporation (CNXC, 455,000 employees)44% now, 60% by 2028
- Genpact Limited (G, 146,500 employees)36% now, 63% by 2028
- TaskUs, Inc. (TASK, 65,500 employees)47% now, 59% by 2028
- ExlService Holdings, Inc. (EXLS, 65,000 employees)37% now, 63% by 2028
- Conduent Incorporated (CNDT, 51,000 employees)47% now, 59% by 2028
- TTEC Holdings, Inc. (TTEC, 51,000 employees)47% now, 59% by 2028
- Maximus, Inc. (MMS, 37,200 employees)46% now, 59% by 2028
- IBEX Limited (IBEX, 35,000 employees)47% now, 59% by 2028
What the filing says about AI
34 sentences in the filing name AI. Thirty-four sentences: the company says it uses artificial intelligence and machine learning with proprietary analytical platforms to build insights and automate decisions for clients, and that its cloud infrastructure lets it deploy AI, machine learning and agentic capabilities in products and internal processes.
- “We use advanced statistical techniques, artificial intelligence and machine learning, as well as proprietary software tools to analyze available data for the creation of customized insights, decision-making and process automation solutions, and processing services for our clients.”
- “Our cloud infrastructure also allows us to rapidly deploy and integrate artificial intelligence, machine learning and agentic based capabilities to improve our products and solutions, as well as internal processes.”
- “We use proprietary advanced analytical platforms, including capabilities in machine learning, artificial intelligence and advanced visualization tools, to leverage our unique data to develop leading analytical insights that enhance the precision of our customers' decisioning activities.”
- “These laws and regulations may involve consumer reports, privacy and consumer protection, data protection, artificial intelligence, intellectual property, competition, anti-corruption, anti-bribery, anti-money laundering, employment, health, taxation or other subjects.”
- “Congress, various state legislative bodies and foreign governments concerning consumer and data protection, as well as artificial intelligence, that could affect us.”
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 20215median 0
- Fiscal 20226median 0
- Fiscal 202311median 1
- Fiscal 202418median 4
- Fiscal 202534median 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 | 15,000 | 2026-02-19 | 10-K |
| 2024-12-31 | 14,700 | 2025-02-20 | 10-K |
| 2023-12-31 | 14,900 | 2024-02-22 | 10-K |
| 2022-12-31 | 14,000 | 2023-02-23 | 10-K |
| 2021-12-31 | 12,700 | 2022-02-24 | 10-K |
| 2020-12-31 | 11,400 | 2021-02-25 | 10-K |
| 2019-12-31 | 11,200 | 2020-02-20 | 10-K |
| 2018-12-31 | 10,900 | 2019-02-21 | 10-K |
| 2017-12-31 | 10,300 | 2018-03-01 | 10-K |
| 2016-12-31 | 9,500 | 2017-02-22 | 10-K |
| 2015-12-31 | 8,000 | 2016-02-24 | 10-K |
| 2014-12-31 | 7,500 | 2015-02-25 | 10-K |
| 2013-12-31 | 7,000 | 2014-02-28 | 10-K |
| 2012-12-31 | 7,000 | 2013-02-22 | 10-K |
| 2011-12-31 | 6,500 | 2012-02-23 | 10-K |
| 2010-12-31 | 6,500 | 2011-02-23 | 10-K |
| 2009-12-31 | 6,600 | 2010-02-23 | 10-K |
| 2008-12-31 | 6,500 | 2009-02-26 | 10-K |
| 2007-12-31 | 7,000 | 2008-02-27 | 10-K |
| 2006-12-31 | 4,960 | 2007-02-28 | 10-K |
| 2005-12-31 | 4,600 | 2006-03-02 | 10-K |
| 2004-12-31 | 4,400 | 2005-03-16 | 10-K |
| 2003-12-31 | 4,600 | 2004-03-11 | 10-K |
| 2002-12-31 | 5,000 | 2003-03-28 | 10-K |
| 2001-12-31 | 5,200 | 2002-03-12 | 10-K |
| 2000-12-31 | 12,200 | 2001-03-29 | 10-K405 |
| 1999-12-31 | 12,700 | 2000-03-30 | 10-K405 |
| 1998-12-31 | 14,000 | 1999-03-31 | 10-K405 |
| 1997-12-31 | 10,000 | 1998-03-31 | 10-K405 |
| 1996-12-31 | 14,100 | 1997-03-31 | 10-K |
| 1995-12-31 | 14,200 | 1996-04-01 | 10-K405 |
| 1994-12-31 | 14,200 | 1995-03-30 | 10-K |
Limits of this reading
- The corporate Centers of Excellence (4,300) are a stated corporate count, read at management of companies under rule 6.
- The U.S. share is not stated.
Source: the company's annual report on EDGAR, accession 0000033185-26-000010, 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 Equifax 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 Equifax Inc.'s working time is within reach of AI?
- An estimated 42% now and 60% by the end of 2028, on METR's long-run pace at four in five, from the workforce Equifax 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 Equifax Inc. employ?
- 15,000 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states.
- What kinds of work make up Equifax Inc.'s workforce?
- Read from its annual report as a blend of 2 industry staffing patterns, the largest Business Support Services; by those patterns the work is about 62% desk work, 28% 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 Equifax Inc.'s annual report say about AI?
- 34 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 5, 6, 11, 18 and 34 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.