The Workforce AI Index · Consumer Cyclical
Autoliv, Inc. (ALV)
Automotive safety maker, counted by workforce type. Read October 1, 2026 from the annual report for the period ending 2025-12-31, filed 2026-02-19. Ranked 24 of the 39 Consumer Cyclical companies read so far, by the share within reach now: the sector.
The filing counts 47,300 direct manufacturing and 17,000 indirect workers, 64,300 in all, in one automotive safety business, so one motor vehicle parts pattern carries the workforce (a).
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
64,300 employees as of 2025-12-31 (stated). The filing states 29% of the workforce in the Americas, 35% in Europe, 22% in Asia excluding China and 14% in China; no U.S. count.
The filing: “The table below shows the Company's total workforce as of December 31, 2025: Total workforce 64,300, whereof direct workforce in manufacturing 47,300 and indirect workforce 17,000; temporary workforce 10%.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Motor Vehicle Parts Manufacturing | 100% | By stated counts (a): 47,300 direct workforce in manufacturing and 17,000 indirect workforce, all in one business of airbags, seatbelts and steering wheels. |
What the filing says about the workforce: Total workforce 64,300 including temporary personnel at 10%: 47,300 direct in manufacturing, 17,000 indirect; 29% Americas, 35% Europe, 22% Asia excluding China, 14% China; around 60% of the workforce outside the United States under collective bargaining; a 2023 cost framework that the filing says targeted a reduction of up to 6,000 direct positions, estimated achieved by the end of 2025, as the filing states it.
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.
- Lear Corporation (LEA, 164,300 employees)15% now, 28% by 2028
- Aptiv PLC (APTV, 140,000 employees)15% now, 28% by 2028
- Adient plc (ADNT, 65,000 employees)15% now, 28% by 2028
What the filing says about AI
15 sentences in the filing name AI. The filing names AI in 15 sentences: AI and machine learning used across manufacturing for quality assurance, predictive maintenance, production automation and supply chain planning, and the operational, cybersecurity and intellectual property risks that reliance brings.
- “In addition, our implementation of certain new technologies, such as those related to artificial intelligence, automation and algorithms, may have unintended consequences due to any limitations or failure to use them effectively.”
- “Threat actors, including nation state attackers, could also use artificial intelligence for malicious purposes, increasing the frequency, velocity, and complexity of their attacks.”
- “Increasing reliance on artificial intelligence technologies exposes us to operational, cybersecurity, and intellectual property risks We increasingly utilize artificial intelligence ("AI") and machine‑learning technologies across various aspects of our manufacturing operations, including quality assurance, predictive maintenance, production automation, and supply‑chain planning.”
- “AI systems depend on the availability of accurate, comprehensive, and properly structured data.”
- “If the data underlying these systems is incomplete, inconsistent, or of poor quality, AI outputs may be unreliable, resulting in inaccurate demand forecasts, flawed inventory or production decisions, or erroneous quality‑control assessments.”
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 | 64,300 | 2026-02-19 | 10-K |
| 2024-12-31 | 65,200 | 2025-02-20 | 10-K |
| 2023-12-31 | 70,300 | 2024-02-20 | 10-K |
| 2022-12-31 | 69,100 | 2023-02-16 | 10-K |
| 2021-12-31 | 60,600 | 2022-02-22 | 10-K |
| 2020-12-31 | 59,000 | 2021-02-19 | 10-K |
| 2019-12-31 | 59,000 | 2020-02-21 | 10-K |
| 2018-12-31 | 58,000 | 2019-02-21 | 10-K |
| 2017-12-31 | 63,000 | 2018-02-22 | 10-K |
| 2016-12-31 | 61,500 | 2017-02-23 | 10-K |
| 2015-12-31 | 54,600 | 2016-02-19 | 10-K |
| 2014-12-31 | 50,800 | 2015-02-19 | 10-K |
| 2013-12-31 | 46,900 | 2014-02-21 | 10-K |
| 2012-12-31 | 41,700 | 2013-02-22 | 10-K |
| 2011-12-31 | 38,500 | 2012-02-23 | 10-K |
| 2010-12-31 | 34,600 | 2011-02-23 | 10-K |
| 2009-12-31 | 30,200 | 2010-02-19 | 10-K |
| 2008-12-31 | 34,000 | 2009-02-24 | 10-K |
| 2007-12-31 | 35,300 | 2008-02-22 | 10-K |
| 2006-12-31 | 35,700 | 2007-02-23 | 10-K |
| 2005-12-31 | 34,100 | 2006-02-28 | 10-K |
| 2004-12-31 | 34,515 | 2005-03-10 | 10-K |
| 2003-12-31 | 32,100 | 2004-03-11 | 10-K |
| 2002-12-31 | 30,100 | 2003-03-14 | 10-K |
| 2001-12-31 | 28,000 | 2002-03-20 | 10-K |
| 2000-12-31 | 28,000 | 2001-03-29 | 10-K |
| 1999-12-31 | 22,600 | 2000-03-28 | 10-K405 |
| 1998-12-31 | 20,700 | 1999-03-26 | 10-K405 |
| 1997-12-31 | 17,800 | 1998-03-26 | 10-K405 |
Limits of this reading
- Most of the workforce is abroad; the pattern applies abroad because the work is the same in kind (rule 7).
- The U.S. share is not stated; the Americas figure includes Mexico and Canada.
Source: the company's annual report on EDGAR, accession 0001193125-26-058162, 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 Autoliv, Inc.'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 Autoliv, 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 Autoliv, Inc. employ?
- 64,300 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states.
- What kinds of work make up Autoliv, Inc.'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 Autoliv, Inc.'s annual report say about AI?
- 15 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.