Booz Allen Hamilton Holding Corporation (BAH)
Government technology consulting, 28,800 customer staff. Read October 3, 2026 from the annual report for the period ending March 31, 2026, filed May 22, 2026. Ranked 3 of the 57 Industrials companies read so far, by the share within reach now.
Within reach now
24%
End of 2028
67%
Employees, annual report
31,500
Leading staffing pattern
Management, Scientific, and Technical Consulting Services
Share of the working time within reach, long-run pace, four times in five
- Now24%
- End of 202752%
- End of 202867%
- End of 203072%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 28%
- Becomes checking a model's work 56%
- Handed over with lighter checks 10%
The filing states approximately 31,500 employees, 28,800 of them customer staff, doing consulting and technology work for federal customers with no count by kind, so the split rests on the 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: 24% now, 52% at the end of 2027, 67% at the end of 2028, 72% at the end of 2030. By the patterns, the work is about 72% desk work, 21% people work and 7% 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 28% of the working time stays with people (conversation, in-person and hands-on work), 56% becomes checking a model's work and 10% could be handed over with lighter checks, from the industries' own figures, not the company's roles.
Headcount
31,500 employees as of March 31, 2026 (stated). The filing says the people work across the U.S. and select global regions and states no count by country.
The filing: “Our People and Culture As of March 31, 2026, we employed approximately 31,500 people across the U.S. and select global regions, including 28,800 customer staff.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Management, Scientific, and Technical Consulting Services | 50% | Consulting and mission services to federal customers (the SIC 8742 business), half of the work by the filing's description of its expertise in AI, cyber, quantum and software engineering; no count by kind of work, so by description (c). |
| Computer Systems Design and Related Services | 50% | Building and deploying software, AI and cyber systems, the technology half of the same description (NAICS 5415); by description (c). |
What the filing says about the workforce: Approximately 31,500 employees, 28,800 of them customer staff; 87% hold bachelor's, 46% master's and 4% doctoral degrees; nearly 30% veterans or with military experience; about 77% hold security clearances; 23 countries, 32 major business centers.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Management, Scientific, and Technical Consulting 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.
- Willis Towers Watson Public Limited Company (WTW, 47,000 employees)29% now, 63% by 2028
What the filing says about AI
42 sentences in the filing name AI. The filing presents AI as its business: it calls itself the federal government's largest AI provider with about 400 active AI projects, spanning agentic AI, physical AI and AI radio access networks.
- “These investments propelled Booz Allen as a leader in artificial intelligence ("AI"), cyber, quantum, and other advanced technologies.”
- “We build proprietary technologies and co-create with leading commercial partners and start-ups to rapidly build, scale, and deploy proven innovations. 1 T able of Contents Our advanced technology capabilities are grounded in decades of leadership across AI, cybersecurity, data, and engineering.”
- “As the federal government's largest AI provider with approximately 400 active AI projects, we build secure AI solutions and advanced capabilities spanning agentic AI, physical AI, and AI-Radio Access Network (AI-RAN), and other emerging technologies designed for mission critical environments.”
- “Our core technologies include: Cyber : We build cyber tech to close the speed gap between AI-powered adversaries and traditional cyber defenses.”
- “Vellox, our AI-native cyber product suite, pairs machine-speed automation with models trained on real-world adversary tradecraft to outpace attackers.”
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 20228median 0
- Fiscal 202333median 1
- Fiscal 202439median 4
- Fiscal 202542median 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 |
|---|---|---|---|
| 2026-03-31 | 31,500 | 2026-05-22 | 10-K |
| 2025-03-31 | 35,800 | 2025-05-23 | 10-K |
| 2024-03-31 | 34,200 | 2024-05-24 | 10-K |
| 2023-03-31 | 31,900 | 2023-05-26 | 10-K |
| 2022-03-31 | 29,300 | 2022-05-20 | 10-K |
| 2021-03-31 | 27,700 | 2021-05-21 | 10-K |
| 2020-03-31 | 27,200 | 2020-05-26 | 10-K |
| 2019-03-31 | 26,100 | 2019-05-28 | 10-K |
| 2018-03-31 | 24,600 | 2018-05-29 | 10-K |
| 2017-03-31 | 23,300 | 2017-05-22 | 10-K |
| 2016-03-31 | 22,600 | 2016-05-19 | 10-K |
| 2015-03-31 | 22,500 | 2015-05-21 | 10-K |
| 2014-03-31 | 22,700 | 2014-05-22 | 10-K |
| 2013-03-31 | 24,500 | 2013-05-23 | 10-K |
| 2012-03-31 | 25,000 | 2012-05-30 | 10-K |
| 2011-03-31 | 25,000 | 2011-06-08 | 10-K |
Limits of this reading
- Shares by description (c): the filing counts customer staff but not employees by kind of work.
- No count by country; the U.S. share is not stated.
Source: the company's annual report on EDGAR, accession 0001628280-26-037521, 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 Booz Allen Hamilton Holding Corporation's working time is within reach of AI?
- An estimated 24% now and 67% by the end of 2028, on METR's long-run pace at four in five, from the workforce Booz Allen Hamilton Holding Corporation'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 Booz Allen Hamilton Holding Corporation employ?
- 31,500 as of March 31, 2026, as its annual report for the period ending March 31, 2026 states.
- What kinds of work make up Booz Allen Hamilton Holding Corporation's workforce?
- Read from its annual report as a blend of 2 industry staffing patterns, the largest Management, Scientific, and Technical Consulting Services; by those patterns the work is about 72% desk work, 21% people work and 7% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does Booz Allen Hamilton Holding Corporation's annual report say about AI?
- 42 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 5, 8, 33, 39 and 42 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.