The Workforce AI Index · Industrials
Parker-Hannifin Corporation (PH)
Motion control maker, split by segment revenue. Read October 1, 2026 from the annual report for the period ending 2026-06-30, filed 2026-08-21. Ranked 8 of the 28 Industrials companies read so far, by the share within reach now: the sector.
The filing counts 59,850 team members with 30,830 at foreign subsidiaries and nothing by segment, so the patterns follow segment revenue, industrial and aerospace (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: 17% now, 31% at the end of 2027, 38% at the end of 2028, 41% at the end of 2030. By the patterns, the work is about 41% desk work, 14% people work and 45% 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 57% of the working time stays with people (conversation, in-person and hands-on work), 35% becomes checking a model's work and 5% could be handed over with lighter checks, from the industries' own figures, not the company's roles.
Headcount
59,850 employees as of 2026-06-30 (stated). The filing counts approximately 30,830 of 59,850 team members at foreign subsidiaries, leaving about 29,020 employed at home.
The filing: “As of June 30, 2026, we employed approximately 59,850 persons that we refer to as team members, of whom approximately 30,830 were employed by foreign subsidiaries.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Machinery Manufacturing (3331, 3332, 3334, and 3339 only) | 50% | By revenue (c): the Diversified Industrial segment at 67% of revenue, motion control, filtration and fluid power machinery, with no count by segment. |
| Aerospace Product and Parts Manufacturing | 33% | By revenue (c): the Aerospace Systems segment at 33% of revenue, flight control, fuel and hydraulic systems, with no stated count. |
| Fabricated Metal Product Manufacturing (3321, 3322, 3325, 3326, and 3329 only) | 17% | By description (c): the valves, fittings and connectors inside the Diversified Industrial segment, the fabricated metal products its SIC code names, with no stated count. |
What the filing says about the workforce: Approximately 59,850 team members, 30,830 at foreign subsidiaries; a 92% response rate and 75% engagement in the fiscal 2025 survey; the recordable incident rate down over 50% since fiscal 2019.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Machinery Manufacturing (3331, 3332, 3334, and 3339 only), largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.
- Caterpillar Inc. (CAT, 118,000 employees)18% now, 37% by 2028
- Deere & Company (DE, 73,100 employees)19% now, 37% by 2028
What the filing says about AI
3 sentences in the filing name AI. The filing names AI in 3 sentences, as risk: AI used by threat actors, generative AI raising data risks, and the need to integrate AI into processes and serve AI infrastructure customers.
- “The sophistication of cyber threats continues to evolve and grow, including the risk associated with the use of artificial intelligence and quantum computing by threat actors to conduct more targeted and evasive attacks.”
- “Additionally, our increasing use of digital technologies within our operations as well as other evolving practices such as certain of our employees working remotely at times and the increased adoption of generative artificial intelligence may increase our vulnerability to cyber and data protection risks.”
- “For example, artificial intelligence technologies are rapidly developing and our business may be adversely affected if we cannot successfully integrate such technologies into our internal business processes and product and service offerings, or if we cannot effectively position our products to serve the needs of artificial intelligence technology providers, including data center infrastructure,...”
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 |
|---|---|---|---|
| 2026-06-30 | 59,850 | 2026-08-21 | 10-K |
| 2025-06-30 | 57,950 | 2025-08-22 | 10-K |
| 2024-06-30 | 61,120 | 2024-08-22 | 10-K |
| 2023-06-30 | 62,730 | 2023-08-24 | 10-K |
| 2022-06-30 | 55,090 | 2022-08-24 | 10-K |
| 2021-06-30 | 54,640 | 2021-08-25 | 10-K |
| 2020-06-30 | 50,520 | 2020-08-26 | 10-K |
| 2019-06-30 | 55,610 | 2019-08-23 | 10-K |
| 2018-06-30 | 57,170 | 2018-08-24 | 10-K |
| 2017-06-30 | 56,690 | 2017-08-25 | 10-K |
| 2016-06-30 | 48,950 | 2016-08-26 | 10-K |
| 2015-06-30 | 54,750 | 2015-08-26 | 10-K |
| 2014-06-30 | 57,450 | 2014-08-22 | 10-K |
| 2013-06-30 | 58,150 | 2013-08-29 | 10-K |
| 2012-06-30 | 59,300 | 2012-08-24 | 10-K |
| 2011-06-30 | 58,400 | 2011-08-26 | 10-K |
| 2010-06-30 | 54,800 | 2010-08-26 | 10-K |
| 2009-06-30 | 51,639 | 2009-08-27 | 10-K |
| 2008-06-30 | 61,722 | 2008-08-28 | 10-K |
| 2007-06-30 | 57,338 | 2007-08-29 | 10-K |
| 2006-06-30 | 57,073 | 2006-09-06 | 10-K |
| 2005-06-30 | 50,638 | 2005-09-02 | 10-K |
| 2004-06-30 | 48,447 | 2004-09-03 | 10-K |
| 2003-06-30 | 46,787 | 2003-08-29 | 10-K |
| 2002-06-30 | 48,176 | 2002-08-14 | 10-K |
| 2001-06-30 | 46,300 | 2001-09-27 | 10-K |
| 2000-06-30 | 43,895 | 2000-09-28 | 10-K405 |
| 1999-06-30 | 38,928 | 1999-09-24 | 10-K405 |
| 1998-06-30 | 39,873 | 1998-09-15 | 10-K405 |
| 1997-06-30 | 34,927 | 1997-09-29 | 10-K405 |
| 1996-06-30 | 33,289 | 1996-09-30 | 10-K |
| 1995-06-30 | 30,590 | 1995-09-28 | 10-K |
| 1994-06-30 | 26,730 | 1994-09-28 | 10-K |
Limits of this reading
- The filing counts people at home and at foreign subsidiaries, not by segment; the pattern shares rest on segment revenue and description (c).
Source: the company's annual report on EDGAR, accession 0000076334-26-000105, 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 Parker-Hannifin Corporation's working time is within reach of AI?
- An estimated 17% now and 38% by the end of 2028, on METR's long-run pace at four in five, from the workforce Parker-Hannifin 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 Parker-Hannifin Corporation employ?
- 59,850 as of June 30, 2026, as its annual report for the period ending June 30, 2026 states. About 48% in the U.S.
- What kinds of work make up Parker-Hannifin Corporation's workforce?
- Read from its annual report as a blend of 3 industry staffing patterns, the largest Machinery Manufacturing (3331, 3332, 3334, and 3339 only); by those patterns the work is about 41% desk work, 14% people work and 45% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does Parker-Hannifin Corporation's annual report say about AI?
- 3 sentences in the filing name AI. 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 1, 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.