Textron Inc. (TXT)
Aircraft and helicopter maker, 80% in the U.S.. Read October 2, 2026 from the annual report for the period ending January 3, 2026, filed February 11, 2026. Ranked 50 of the 57 Industrials companies read so far, by the share within reach now.
Within reach now
16%
End of 2028
42%
Employees, annual report
34,000
Leading staffing pattern
Aerospace Product and Parts Manufacturing
Share of the working time within reach, long-run pace, four times in five
- Now16%
- End of 202733%
- End of 202842%
- End of 203045%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 51%
- Becomes checking a model's work 41%
- Handed over with lighter checks 4%
The filing states approximately 34,000 employees, 80% in the U.S., in four segments with no count by segment, so the aircraft, helicopter and systems businesses and the industrial segment take their shares of revenue (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: 16% now, 33% at the end of 2027, 42% at the end of 2028, 45% at the end of 2030. By the patterns, the work is about 45% desk work, 13% people work and 42% 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 51% of the working time stays with people (conversation, in-person and hands-on work), 41% becomes checking a model's work and 4% could be handed over with lighter checks, from the industries' own figures, not the company's roles.
Headcount
34,000 employees as of January 3, 2026 (stated). Approximately 80% of 34,000 employees are located in the U.S.
The filing: “Human Capital Resources At January 3, 2026, we employed approximately 34,000 employees worldwide, with approximately 80% located in the U.S. and the remainder located outside of the U.S.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Aerospace Product and Parts Manufacturing | 78% | Textron Aviation (41% of revenues), Bell (29%) and Textron Systems (8%) build aircraft, helicopters and defense systems (NAICS 3364, the SIC 3720 business); the filing counts no employees by segment, so by revenue (c). |
| Motor Vehicle Parts Manufacturing | 22% | The Industrial segment, fuel systems and specialized vehicles, 22% of revenues, read at motor vehicle parts (NAICS 3363) as its nearest pattern; by revenue (c). |
What the filing says about the workforce: Approximately 34,000 employees, 80% in the U.S.; 7,700, or 29% of U.S. employees (23% of all), represented by unions, most at Bell and Textron Aviation; headcount reductions under the restructuring plan totaled about 1,800 positions, 5% of the global workforce, as the filing states.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Aerospace Product and Parts Manufacturing, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.
- Boeing (BA, 182,000 employees)16% now, 44% by 2028
- RTX (RTX, 180,000 employees)16% now, 45% by 2028
- Lockheed Martin (LMT, 123,000 employees)16% now, 48% by 2028
- Honeywell International Inc. (HON, 101,000 employees)17% now, 46% by 2028
- Northrop Grumman Corporation (NOC, 95,000 employees)16% now, 46% by 2028
- GE Aerospace (GE, 57,000 employees)16% now, 46% by 2028
What the filing says about AI
2 sentences in the filing name AI. The filing names AI only in its cybersecurity risk factors: phishing and social engineering schemes that use artificial intelligence, and developments in AI and machine learning giving threat actors more sophisticated means of attack.
- “Some cyberattacks depend on human error or manipulation, including phishing attacks or schemes that use social engineering or artificial intelligence to gain access to systems or carry out disbursement of funds or other frauds.”
- “Developments in artificial intelligence and machine learning provide threat actors with the capability to use more sophisticated means to attack our systems and may exacerbate cybersecurity risk.”
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 20210median 0
- Fiscal 20220median 0
- Fiscal 20230median 1
- Fiscal 20242median 4
- Fiscal 20252median 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 |
|---|---|---|---|
| 2026-01-03 | 34,000 | 2026-02-11 | 10-K |
| 2024-12-28 | 34,000 | 2025-02-06 | 10-K |
| 2023-12-30 | 35,000 | 2024-02-12 | 10-K |
| 2022-12-31 | 34,000 | 2023-02-16 | 10-K |
| 2022-01-01 | 33,000 | 2022-02-17 | 10-K |
| 2021-01-02 | 33,000 | 2021-02-19 | 10-K |
| 2020-01-04 | 35,000 | 2020-02-25 | 10-K |
| 2018-12-29 | 35,000 | 2019-02-14 | 10-K |
| 2017-12-30 | 37,000 | 2018-02-15 | 10-K |
| 2016-12-31 | 36,000 | 2017-02-22 | 10-K |
| 2016-01-02 | 35,000 | 2016-02-24 | 10-K |
| 2015-01-03 | 34,000 | 2015-02-25 | 10-K |
| 2013-12-28 | 32,000 | 2014-02-14 | 10-K |
| 2012-12-29 | 33,000 | 2013-02-15 | 10-K |
| 2011-12-31 | 32,000 | 2012-02-23 | 10-K |
| 2011-01-01 | 32,000 | 2011-03-01 | 10-K |
| 2010-01-02 | 32,000 | 2010-02-25 | 10-K |
| 2009-01-03 | 43,000 | 2009-02-26 | 10-K |
| 2007-12-29 | 44,000 | 2008-02-20 | 10-K |
| 2006-12-30 | 40,000 | 2007-02-21 | 10-K |
| 2005-12-31 | 37,000 | 2006-02-24 | 10-K |
| 2005-01-01 | 44,000 | 2005-02-24 | 10-K |
| 2004-01-03 | 43,000 | 2004-02-27 | 10-K |
| 2002-12-28 | 49,000 | 2003-02-27 | 10-K |
| 2001-12-29 | 51,000 | 2002-03-14 | 10-K405 |
| 2000-12-30 | 71,000 | 2001-03-14 | 10-K |
| 2000-01-01 | 68,000 | 2000-03-17 | 10-K405 |
| 1999-01-02 | 64,000 | 1999-03-15 | 10-K |
| 1998-01-03 | 64,000 | 1998-03-16 | 10-K |
| 1996-12-28 | 57,000 | 1997-03-14 | 10-K |
| 1995-12-30 | 57,000 | 1996-03-14 | 10-K |
| 1994-12-31 | 53,000 | 1995-03-29 | 10-K |
| 1994-01-01 | 56,000 | 1994-03-30 | 10-K |
Limits of this reading
- Shares by segment revenue (c): the filing counts no employees by segment.
- The Industrial segment's fuel systems and specialized vehicles are read at motor vehicle parts for lack of a closer pattern.
Source: the company's annual report on EDGAR, accession 0000217346-26-000006, 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 Textron Inc.'s working time is within reach of AI?
- An estimated 16% now and 42% by the end of 2028, on METR's long-run pace at four in five, from the workforce Textron 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 Textron Inc. employ?
- 34,000 as of January 3, 2026, as its annual report for the period ending January 3, 2026 states. About 80% in the U.S.
- What kinds of work make up Textron Inc.'s workforce?
- Read from its annual report as a blend of 2 industry staffing patterns, the largest Aerospace Product and Parts Manufacturing; by those patterns the work is about 45% desk work, 13% people work and 42% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does Textron Inc.'s annual report say about AI?
- 2 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 0, 0, 0, 2 and 2 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.