The Workforce AI Index · Healthcare
Danaher Corporation (DHR)
Life sciences and diagnostics maker, split by description. Read October 1, 2026 from the annual report for the period ending 2025-12-31, filed 2026-02-24. Ranked 22 of the 27 Healthcare companies read so far, by the share within reach now: the sector.
The filing counts 60,000 associates by region and nothing by segment, so the patterns follow its description of instruments, supplies and reagents (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, 35% at the end of 2027, 44% at the end of 2028, 48% at the end of 2030. By the patterns, the work is about 48% desk work, 17% people work and 35% 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 50% of the working time stays with people (conversation, in-person and hands-on work), 40% 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
60,000 employees as of 2025-12-31 (stated). The filing counts approximately 22,000 associates in North America, 20,000 in Western Europe, 3,000 in other developed markets and 15,000 in high-growth markets; no U.S. count.
The filing: “As of December 31, 2025, the Company had approximately 60,000 employees (whom we refer to as associates), of whom approximately 22,000 were employed in North America, 20,000 in Western Europe, 3,000 in other developed markets and 15,000 in high-growth markets.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Navigational, Measuring, Electromedical, and Control Instruments Manufacturing | 60% | By description (c): the analytical instruments, diagnostic systems and bioprocessing equipment of its biotechnology, life sciences and diagnostics businesses, the industry its SIC code names, with no count by segment. |
| Medical Equipment and Supplies Manufacturing | 25% | By description (c): the consumables and medical supplies sold with those systems, with no stated count. |
| Pharmaceutical and Medicine Manufacturing | 15% | By description (c): the diagnostic reagents and biologics manufacturing materials the filing describes, which that industry covers, with no stated count. |
What the filing says about the workforce: Approximately 60,000 associates: 22,000 North America, 20,000 Western Europe, 3,000 other developed markets, 15,000 high-growth markets; 58,000 full-time and 2,000 part-time; down from 81,000 in 2022 after the Veralto separation.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Navigational, Measuring, Electromedical, and Control Instruments 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.
- Medtronic plc (MDT, 95,000 employees)18% now, 43% by 2028
- Emerson Electric Co. (EMR, 71,000 employees)19% now, 48% by 2028
- GE HealthCare Technologies Inc. (GEHC, 54,000 employees)18% now, 49% by 2028
What the filing says about AI
17 sentences in the filing name AI. The filing names AI in 17 sentences, as risk: the early stages of incorporating AI and machine learning into its business and products, and the uncertainties that use brings.
- “Uncertainties with respect to the development, deployment, and use of artificial intelligence ("AI") in our business and products may result in harm to our business and reputation.”
- “Uncertainties with respect to the development, deployment, and use of AI in our business and products may result in harm to our business and reputation.”
- “We are in the early stages of incorporating AI, including machine learning technologies, into our business activities and our product and service offerings.”
- “As with many innovations, AI presents risks and challenges that could adversely impact our business.”
- “The development, adoption, and use of AI technologies are still in their early stages and ineffective, inadequate or premature AI development or deployment practices could result in unintended consequences such as competitive harm, regulatory penalties, legal liability or brand or reputational harm.”
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 | 60,000 | 2026-02-24 | 10-K |
| 2024-12-31 | 63,000 | 2025-02-20 | 10-K |
| 2023-12-31 | 63,000 | 2024-02-21 | 10-K |
| 2022-12-31 | 81,000 | 2023-02-22 | 10-K |
| 2021-12-31 | 80,000 | 2022-02-23 | 10-K |
| 2020-12-31 | 69,000 | 2021-02-25 | 10-K |
| 2019-12-31 | 60,000 | 2020-02-21 | 10-K |
| 2018-12-31 | 71,000 | 2019-02-21 | 10-K |
| 2017-12-31 | 67,000 | 2018-02-21 | 10-K |
| 2016-12-31 | 62,000 | 2017-02-22 | 10-K |
| 2015-12-31 | 81,000 | 2016-02-24 | 10-K |
| 2014-12-31 | 71,000 | 2015-02-25 | 10-K |
| 2013-12-31 | 66,000 | 2014-02-21 | 10-K |
| 2012-12-31 | 63,000 | 2013-02-22 | 10-K |
| 2011-12-31 | 59,000 | 2012-02-24 | 10-K |
| 2010-12-31 | 48,200 | 2011-02-24 | 10-K |
| 2009-12-31 | 46,600 | 2010-02-24 | 10-K |
| 2008-12-31 | 50,300 | 2009-02-25 | 10-K |
| 2007-12-31 | 50,000 | 2008-02-21 | 10-K |
| 2006-12-31 | 45,000 | 2007-03-01 | 10-K |
| 2005-12-31 | 40,000 | 2006-03-15 | 10-K |
| 2004-12-31 | 35,000 | 2005-03-07 | 10-K |
| 2003-12-31 | 30,000 | 2004-03-10 | 10-K |
| 2002-12-31 | 29,000 | 2003-03-28 | 10-K |
| 2001-12-31 | 23,000 | 2002-03-28 | 10-K405 |
| 2000-12-31 | 24,000 | 2001-03-29 | 10-K405 |
| 1999-12-31 | 19,000 | 2000-03-21 | 10-K405 |
| 1998-12-31 | 18,000 | 1999-03-19 | 10-K |
| 1997-12-31 | 13,200 | 1998-03-17 | 10-K |
| 1996-12-31 | 11,600 | 1997-03-28 | 10-K |
| 1995-12-31 | 10,500 | 1996-03-21 | 10-K |
| 1994-12-31 | 9,960 | 1995-03-23 | 10-K |
| 1993-12-31 | not read | 1994-03-23 | 10-K |
Limits of this reading
- The filing counts people by region, not by segment; the pattern shares rest on description (c).
- The U.S. share is not stated.
Source: the company's annual report on EDGAR, accession 0000313616-26-000062, 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 Danaher Corporation's working time is within reach of AI?
- An estimated 18% now and 44% by the end of 2028, on METR's long-run pace at four in five, from the workforce Danaher 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 Danaher Corporation employ?
- 60,000 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states.
- What kinds of work make up Danaher Corporation's workforce?
- Read from its annual report as a blend of 3 industry staffing patterns, the largest Navigational, Measuring, Electromedical, and Control Instruments Manufacturing; by those patterns the work is about 48% desk work, 17% people work and 35% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does Danaher Corporation's annual report say about AI?
- 17 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.