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The Workforce AI Index · Industrials

Caterpillar Inc. (CAT)

Machinery and engines by segment revenue. Read October 1, 2026 from the annual report for the period ending 2025-12-31, filed 2026-02-13. Ranked 7 of the 28 Industrials companies read so far, by the share within reach now: the sector.

A machinery manufacturer whose filing states its full-time headcount by country and region but not by segment, so the machinery and engine patterns follow segment revenue.

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, 31% at the end of 2027, 37% at the end of 2028, 39% at the end of 2030. By the patterns, the work is about 39% desk work, 15% people work and 46% 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 59% of the working time stays with people (conversation, in-person and hands-on work), 33% 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

118,000 employees as of 2025-12-31 (stated). 51,600 of 118,000 full-time employees are in the United States; 66,400 are outside it.

The filing: “As of December 31, 2025, we employed about 118,000 full-time persons of whom approximately 66,400 were located outside the United States.”

The workforce as industry patterns

PatternShareReason, from the filing
Machinery Manufacturing (3331, 3332, 3334, and 3339 only)58%By (c): the filing's construction industries and resource industries segments, 55% of revenue, make construction and mining machinery, with no headcount by segment stated; the financial products segment, 6% of revenue, has no count and is folded in (rule 5).
Engine, Turbine, and Power Transmission Equipment Manufacturing42%By (c): the power and energy segment, 40% of revenue, makes reciprocating engines, turbines and power generation equipment, with no count of its own stated.

What the filing says about the workforce: 7,972 hourly production employees in the United States are covered by collective bargaining agreements; by region 52,100 in North America, 16,700 in EAME, 22,300 in Latin America and 26,900 in Asia/Pacific; most U.S. employees are at will.

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.

What the filing says about AI

1 sentences in the filing name AI. The filing names AI once, as a driver of data center build-out and so of demand for its power generation engines and turbines; it describes no use of its own.

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.

PeriodEmployeesFiledFiling
2025-12-31118,0002026-02-1310-K
2024-12-31112,9002025-02-1410-K
2023-12-31113,2002024-02-1610-K
2022-12-31109,1002023-02-1510-K
2021-12-31107,7002022-02-1610-K
2020-12-3197,3002021-02-1710-K
2019-12-31102,3002020-02-1910-K
2018-12-31104,0002019-02-1410-K
2017-12-3198,4002018-02-1510-K
2016-12-3195,4002017-02-1510-K
2015-12-31105,7002016-02-1610-K
2014-12-31114,2332015-02-1710-K
2013-12-31118,5012014-02-1810-K
2012-12-31125,3412013-02-1910-K
2011-12-31125,0992012-02-2110-K
2010-12-31104,4902011-02-2210-K
2009-12-3193,8132010-02-1910-K
2008-12-31112,8872009-02-2010-K
2007-12-31101,3332008-02-2210-K
2006-12-3194,5932007-02-2310-K
2006-02-2243,8782006-02-2210-K
2005-02-2238,1282005-02-2410-K
2003-12-3169,1692004-03-1010-K
2002-12-3168,9902003-03-3110-K
2001-12-3172,0042002-03-2210-K405
2000-12-3168,4402001-03-1510-K
1999-12-3166,8962000-03-3010-K405
1998-12-3165,8241999-03-3110-K405
1997-12-3159,8631998-03-2710-K405
1996-12-3157,0261997-03-2610-K405
1995-12-3154,3521996-03-0510-K
1994-12-3153,9861995-02-2310-K
1993-12-3151,2501994-03-0210-K

Limits of this reading

Source: the company's annual report on EDGAR, accession 0000018230-26-000008, 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 Caterpillar Inc.'s working time is within reach of AI?
An estimated 18% now and 37% by the end of 2028, on METR's long-run pace at four in five, from the workforce Caterpillar 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 Caterpillar Inc. employ?
118,000 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states. About 44% in the U.S.
What kinds of work make up Caterpillar Inc.'s workforce?
Read from its annual report as a blend of 2 industry staffing patterns, the largest Machinery Manufacturing (3331, 3332, 3334, and 3339 only); by those patterns the work is about 39% desk work, 15% people work and 46% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
What does Caterpillar Inc.'s annual report say about AI?
1 sentence 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.
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