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The Workforce AI Index · Consumer Cyclical

Lear Corporation (LEA)

Automotive seating and electrical systems. Read October 1, 2026 from the annual report for the period ending 2025-12-31, filed 2026-02-13. Ranked 25 of the 39 Consumer Cyclical companies read so far, by the share within reach now: the sector.

An automotive supplier whose filing states its headcount by region, so one motor vehicle parts pattern applies to a workforce that is 94% outside the United States and Canada.

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: 15% now, 24% at the end of 2027, 28% at the end of 2028, 29% at the end of 2030. By the patterns, the work is about 29% desk work, 14% people work and 57% 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 70% of the working time stays with people (conversation, in-person and hands-on work), 24% 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

164,300 employees as of 2025-12-31 (stated). The United States and Canada together hold 9,800 (6%); no U.S. figure alone is stated.

The filing: “As of December 31, 2025 and 2024, our global employment levels were approximately: United States and Canada 9,800; Mexico 48,600; Central and South America 21,000; Europe and Africa 62,900; Asia 22,000; Total 164,300.”

The workforce as industry patterns

PatternShareReason, from the filing
Motor Vehicle Parts Manufacturing100%By (c): the filing describes seating and electrical systems made for automakers in both segments, which are motor vehicle parts, with headcount stated by region rather than by segment or kind of site.

What the filing says about the workforce: Labor agreements cover approximately 75,000 employees, and agreements covering about 67% of them expire in 2026; most employees in Mexico and Europe belong to industrial unions under national contracts; six million hours of training in 2025.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Motor Vehicle 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.

What the filing says about AI

19 sentences in the filing name AI. The filing describes integrating AI, machine learning and advanced automation into its production facilities and operations, a partnership and acquisitions to develop and deploy automation and AI solutions, and robotics and AI-based capabilities for efficiency, quality and safety.

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
2025-12-31164,3002026-02-1310-K
2024-12-31173,7002025-02-1410-K
2023-12-31186,6002024-02-0810-K
2022-12-31168,7002023-02-0910-K
2021-12-31160,1002022-02-1010-K
2020-12-31175,0002021-02-1010-K
2019-12-3181,5002020-02-0410-K
2018-12-3181,4002019-02-0510-K
2017-12-31165,0002018-02-0610-K
2016-12-31148,4002017-02-0710-K
2015-12-31136,2002016-02-0910-K
2014-12-31125,2002015-02-1010-K
2013-12-31122,3002014-02-1110-K
2012-12-31113,4002013-02-1210-K
2011-12-3197,8002012-02-1710-K
2010-12-3183,4002011-02-1010-K
2009-12-3175,0002010-02-2610-K
2008-12-3180,0002009-03-1710-K
2007-12-3191,0002008-02-1510-K
2006-12-31104,0002007-02-2710-K
2005-12-31115,0002006-03-0910-K
2004-12-31110,0002005-03-0110-K
2003-12-31111,0002004-03-1510-K
2002-12-31115,0002003-03-2110-K
2001-12-3135,0002002-03-1810-K
2000-12-3135,7002001-03-0710-K405
1999-12-3137,0002000-03-2410-K405
1998-12-3160,0001999-03-3010-K405
1997-12-3150,0001998-03-2410-K
1996-12-3143,0001997-03-2810-K405
1995-12-3135,6001996-03-2710-K405
1994-12-3124,0401995-03-2910-K
1993-12-3118,4701994-03-3110-K

Limits of this reading

Source: the company's annual report on EDGAR, accession 0000842162-26-000011, 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 Lear Corporation's working time is within reach of AI?
An estimated 15% now and 28% by the end of 2028, on METR's long-run pace at four in five, from the workforce Lear 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 Lear Corporation employ?
164,300 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states.
What kinds of work make up Lear Corporation's workforce?
Read from its annual report as a blend of 1 industry staffing pattern, the largest Motor Vehicle Parts Manufacturing; by those patterns the work is about 29% desk work, 14% people work and 57% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
What does Lear Corporation's annual report say about AI?
19 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.
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