Aecom (ACM)
Infrastructure consulting, 51,000 people, 35% in the U.S.. Read October 2, 2026 from the annual report for the period ending September 30, 2025, filed November 19, 2025. Ranked 8 of the 47 Industrials companies read so far, by the share within reach now.
Within reach now
18%
End of 2028
62%
Employees, annual report
51,000
Leading staffing pattern
Architectural, Engineering, and Related Services
Share of the working time within reach, long-run pace, four times in five
- Now18%
- End of 202746%
- End of 202862%
- End of 203069%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 30%
- Becomes checking a model's work 56%
- Handed over with lighter checks 6%
The filing states one total and the U.S. count, nothing by kind of work, so the whole workforce takes the engineering services pattern by description (c).
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: 18% now, 46% at the end of 2027, 62% at the end of 2028, 69% at the end of 2030. By the patterns, the work is about 69% desk work, 16% people work and 15% 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 30% of the working time stays with people (conversation, in-person and hands-on work), 56% becomes checking a model's work and 6% could be handed over with lighter checks, from the industries' own figures, not the company's roles.
Headcount
51,000 employees as of September 30, 2025 (stated). Approximately 18,000 of 51,000 in the United States.
The filing: “At the end of our fiscal 2025, we employed approximately 51,000 persons, of whom approximately 18,000 were employed in the United States.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Architectural, Engineering, and Related Services | 100% | An infrastructure consulting firm whose people are technical professionals (the filing's Global Technical Academies, Technical Practice Network and three days a week in the office or at project sites); nothing stated by kind of work, so one pattern by description (c); construction management sits inside it. |
What the filing says about the workforce: About 51,000 persons, about 18,000 in the United States; a Freedom to Grow framework with three days a week in the office or at project sites expected; revenue half from governments and half from private entities.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Architectural, Engineering, and Related 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.
- Amentum Holdings, Inc. (AMTM, 50,000 employees)17% now, 50% by 2028
- Jacobs Solutions Inc. (J, 43,000 employees)19% now, 62% by 2028
- KBR, Inc. (KBR, 36,000 employees)17% now, 52% by 2028
What the filing says about AI
14 sentences in the filing name AI. Fourteen sentences: the industry poised to capitalize on AI, investment in AI solutions to accelerate design delivery and reduce materials and costs on projects, and the risk that managing AI, machine learning and data science technologies could cause harm.
- “In addition, our industry is poised to capitalize on the benefits of AI and innovation.”
- “These investments include capturing the value of our libraries of data to build more efficient design processes, and innovative and more advanced AI solutions for increasingly complex challenges that will accelerate design delivery and reduce the materials and costs required for a project. 4 Table of Contents We provide the services in these segments both directly and through joint ventures or...”
- “We may use artificial intelligence, machine learning, data science and similar technologies in our business, and challenges with properly managing such technologies could result in reputational harm, competitive harm, and legal liability, and adversely affect our business, financial condition and results of operations.”
- “Artificial intelligence, machine learning, data science and similar technologies (collectively, "AI"), including third-party AI tools, may be enabled by, or integrated into, some of our business processes and solutions.”
- “As with many developing technologies, AI presents risks and challenges that could affect its further development, adoption, and use, and therefore our business.”
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 20211median 0
- Fiscal 20220median 0
- Fiscal 20230median 1
- Fiscal 20240median 4
- Fiscal 202514median 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 |
|---|---|---|---|
| 2025-09-30 | 51,000 | 2025-11-19 | 10-K |
| 2024-09-30 | 51,000 | 2024-11-19 | 10-K |
| 2023-09-30 | 52,000 | 2023-11-15 | 10-K |
| 2022-09-30 | 50,000 | 2022-11-17 | 10-K |
| 2021-09-30 | 51,000 | 2021-11-17 | 10-K |
| 2020-09-30 | 54,000 | 2020-11-19 | 10-K |
| 2019-09-30 | 86,000 | 2019-11-13 | 10-K |
| 2018-09-28 | 87,000 | 2018-11-13 | 10-K |
| 2017-09-29 | 87,000 | 2017-11-14 | 10-K |
| 2016-09-30 | 87,000 | 2016-11-16 | 10-K |
| 2015-10-02 | 92,000 | 2015-11-25 | 10-K |
| 2014-09-30 | 43,300 | 2014-11-17 | 10-K |
| 2013-09-30 | 45,500 | 2013-11-13 | 10-K |
| 2012-09-30 | 46,800 | 2012-11-19 | 10-K |
| 2011-09-30 | 45,000 | 2011-11-21 | 10-K |
| 2010-09-30 | 48,100 | 2010-11-22 | 10-K |
| 2009-09-30 | 43,200 | 2009-11-27 | 10-K |
| 2008-09-30 | 43,000 | 2008-12-01 | 10-K |
| 2007-09-30 | 32,000 | 2007-12-13 | 10-K |
Limits of this reading
- No count by segment or kind of work: one pattern by description (c); the Americas and International segments are the same work.
Source: the company's annual report on EDGAR, accession 0000868857-25-000013, 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 Aecom's working time is within reach of AI?
- An estimated 18% now and 62% by the end of 2028, on METR's long-run pace at four in five, from the workforce Aecom'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 Aecom employ?
- 51,000 as of September 30, 2025, as its annual report for the period ending September 30, 2025 states. About 35% in the U.S.
- What kinds of work make up Aecom's workforce?
- Read from its annual report as a blend of 1 industry staffing pattern, the largest Architectural, Engineering, and Related Services; by those patterns the work is about 69% desk work, 16% people work and 15% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does Aecom's annual report say about AI?
- 14 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 1, 0, 0, 0 and 14 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 2, 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.