The Workforce AI Index · Healthcare
Labcorp Holdings Inc. (LH)
Clinical laboratories, split by description. Read October 1, 2026 from the annual report for the period ending 2025-12-31, filed 2026-02-24. Ranked 14 of the 27 Healthcare companies read so far, by the share within reach now: the sector.
The filing states nearly 71,000 employees with 89% in the U.S. and Canada and nothing by business, so the split between diagnostics and drug development follows its 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, 36% at the end of 2027, 42% at the end of 2028, 46% at the end of 2030. By the patterns, the work is about 46% desk work, 18% people work and 36% 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 53% of the working time stays with people (conversation, in-person and hands-on work), 37% 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
71,000 employees as of 2025-12-31 (stated). The filing states 89% of employees in the U.S. and Canada together, 5% in Asia and 6% in Europe; no U.S. count on its own.
The filing: “The Company's nearly 71,000 employees located across 17 countries are essential to the Company's ability to innovate and advance science and technology.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Medical and Diagnostic Laboratories | 80% | By description (c): the clinical laboratories and patient service centers of its diagnostics business, the industry its SIC code names, with no count by segment. |
| Scientific Research and Development Services | 20% | By description (c): the central laboratory and drug development services it provides to pharmaceutical companies, with no stated count. |
What the filing says about the workforce: Nearly 71,000 employees across 17 countries: 89% in the U.S. and Canada; 87% full-time and 13% part-time; about 71% women; about 3% under a collective bargaining agreement; contingent workers up to an additional 8% of the workforce, not counted; a U.S. minimum wage of $17.75 an hour.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Medical and Diagnostic Laboratories, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.
- Quest Diagnostics Incorporated (DGX, 57,000 employees)27% now, 39% by 2028
What the filing says about AI
17 sentences in the filing name AI. The filing names AI in 17 sentences: an AI learning hub for its workforce, a generative AI tool for laboratory test selection, and AI among its defined terms and regulatory matters.
- “Health Insurance Portability and Accountability Act of 1996, HITECH, and their implementing privacy, security, and breach notification regulations AI artificial intelligence HITECH U.S.”
- “Needlestick Safety and Prevention Act, and similar laws and regulations in jurisdictions in which the Company conducts business; 6. fines, unanticipated compliance expenditures, suspension of manufacturing, enforcement actions, damage to the Company's reputation, injunctions, or criminal prosecution arising from failure to maintain compliance with cGMP regulations and similar requirements of va...”
- “Generative AI‑enabled Test Selection (Test Finder) : A generative AI‑enabled tool that supports laboratory test search and selection by allowing providers to use plain‑language prompts to identify clinically relevant tests and related information.”
- “Highlights from 2025 include: Launched Impact, a global program designed to enhance employee engagement by creating an inclusive process for recognizing service milestones and impactful achievements; Introduced an AI learning hub to drive workforce enablement and adoption by building foundational capabilities, accelerating readiness, and supporting future innovation; Expanded our listening stra...”
- “Artificial Intelligence For several years, the Company has deployed AI and machine learning tools to supplement its existing data analysis projects and support greater efficiency in its operations.”
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 | 71,000 | 2026-02-24 | 10-K |
| 2024-12-31 | 70,000 | 2025-02-25 | 10-K |
| 2023-12-31 | 67,000 | 2024-02-26 | 10-K |
| 2022-12-31 | 80,000 | 2023-02-28 | 10-K |
| 2021-12-31 | 75,500 | 2022-02-25 | 10-K |
| 2020-12-31 | 72,400 | 2021-02-25 | 10-K |
| 2019-12-31 | 65,000 | 2020-02-28 | 10-K |
| 2018-12-31 | 61,000 | 2019-02-28 | 10-K |
| 2017-12-31 | 60,000 | 2018-02-27 | 10-K |
| 2016-12-31 | 52,000 | 2017-02-27 | 10-K |
| 2015-12-31 | 50,000 | 2016-02-29 | 10-K |
| 2014-12-31 | 36,000 | 2015-02-26 | 10-K |
| 2013-12-31 | 34,000 | 2014-02-25 | 10-K |
| 2012-12-31 | 34,000 | 2013-02-26 | 10-K |
| 2011-12-31 | 31,000 | 2012-02-24 | 10-K |
| 2010-12-31 | 31,000 | 2011-03-01 | 10-K |
| 2009-12-31 | 28,000 | 2010-02-24 | 10-K |
| 2009-02-26 | 28,000 | 2009-02-26 | 10-K |
| 2008-02-26 | 26,000 | 2008-02-26 | 10-K |
| 2006-12-31 | 25,000 | 2007-02-27 | 10-K |
| 2006-02-28 | 24,000 | 2006-02-28 | 10-K |
| 2005-03-03 | 23,500 | 2005-03-03 | 10-K |
| 2004-03-11 | 23,000 | 2004-03-11 | 10-K |
| 2002-12-31 | 24,000 | 2003-03-28 | 10-K |
| 2001-12-31 | 19,600 | 2002-03-18 | 10-K |
| 2000-12-31 | 18,850 | 2001-03-09 | 10-K |
| 1999-12-31 | 17,960 | 2000-03-17 | 10-K |
| 1998-12-31 | 18,800 | 1999-03-11 | 10-K405 |
| 1997-12-31 | 18,600 | 1998-03-30 | 10-K405 |
| 1996-12-31 | 22,000 | 1997-04-11 | 10-K405 |
| 1995-12-31 | 24,600 | 1996-03-29 | 10-K405 |
| 1994-12-31 | 14,000 | 1995-03-03 | 10-K405 |
Limits of this reading
- The filing counts people by region and status, not by business; the split between diagnostics and drug development services rests on description (c).
Source: the company's annual report on EDGAR, accession 0000920148-26-000111, 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 Labcorp Holdings Inc.'s working time is within reach of AI?
- An estimated 24% now and 42% by the end of 2028, on METR's long-run pace at four in five, from the workforce Labcorp Holdings 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 Labcorp Holdings Inc. employ?
- 71,000 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states.
- What kinds of work make up Labcorp Holdings Inc.'s workforce?
- Read from its annual report as a blend of 2 industry staffing patterns, the largest Medical and Diagnostic Laboratories; by those patterns the work is about 46% desk work, 18% people work and 36% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does Labcorp Holdings Inc.'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.