The Workforce AI Index · Energy
Slb N.V. (SLB)
Oilfield services, split by segment revenue. Read October 1, 2026 from the annual report for the period ending 2025-12-31, filed 2026-01-23. Ranked 2 of the 2 Energy companies read so far, by the share within reach now: the sector.
The filing states approximately 109,000 people in more than 100 countries and nothing by segment, so the patterns follow segment revenue and the filing's 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: 16% now, 25% at the end of 2027, 29% at the end of 2028, 30% at the end of 2030. By the patterns, the work is about 30% desk work, 13% 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 61% of the working time stays with people (conversation, in-person and hands-on work), 29% becomes checking a model's work and 7% could be handed over with lighter checks, from the industries' own figures, not the company's roles.
Headcount
109,000 employees as of 2025-12-31 (stated). The filing states more than 100 countries and says its nationality mix aligns with revenue by country; North America is 21% of revenue; no U.S. count.
The filing: “As a leading global technology company that operates in more than 100 countries with a workforce of approximately 109,000 people from diverse backgrounds, cultures, and nationalities, one of SLB's greatest strengths is the diversity of our people.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Support Activities for Mining | 80% | By revenue (c): Well Construction at 34%, Reservoir Characterization at 20% and the services inside Production Systems are oilfield services, the industry the filing's SIC code names, with no count by segment. |
| Machinery Manufacturing (3331, 3332, 3334, and 3339 only) | 12% | By revenue (c): Production Systems at 38% of revenue includes the manufacture of completion, lift and surface equipment, read as the manufacturing part of that segment without a stated count. |
| Computer Systems Design and Related Services | 8% | By revenue (c): Digital and Integration at 8% of revenue, the data platforms and software the filing describes, with no stated count. |
What the filing says about the workforce: Approximately 109,000 people in more than 100 countries; women about 26% of the salaried workforce at the end of 2025; the nationality mix generally aligns with revenue by country.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Support Activities for Mining, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.
- Baker Hughes Company (BKR, 56,000 employees)16% now, 31% by 2028
What the filing says about AI
10 sentences in the filing name AI. The filing names AI in 10 sentences: AI and machine learning in its workflows for customers, AI technologies applied to its seismic data library, and agentic AI orchestration in its digital offering.
- “Additionally, they unlock data and utilize artificial intelligence ("AI") and machine learning to reduce cycle time and improve efficiency of workflows to allow customers to make better, faster decisions to improve their project economics and reservoir performance.”
- “The library covers key exploration and producing basins worldwide and datasets are refreshed and reprocessed to benefit from the latest imaging algorithms and AI technologies, enabled by high performance cloud computing.”
- “SLB is uniquely positioned to support customers on their digital journeys by providing an offering which spans planning and operational workflows, underpinned by data platforms and agentic AI orchestration which not only allow customers to realize efficiency gains but also transforms industry workflows through AI.”
- “Many of these services use embedded AI to automate insights and differentiate our service delivery offering.”
- “As AI-driven data demand continues to fuel rapid growth, this business is expected to be a material contributor to SLB's portfolio in the future.”
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 | 109,000 | 2026-01-23 | 10-K |
| 2024-12-31 | 110,000 | 2025-01-22 | 10-K |
| 2023-12-31 | 111,000 | 2024-01-24 | 10-K |
| 2022-12-31 | 99,000 | 2023-01-25 | 10-K |
| 2021-12-31 | 92,000 | 2022-01-26 | 10-K |
| 2020-12-31 | 86,000 | 2021-01-27 | 10-K |
| 2019-12-31 | 105,000 | 2020-01-22 | 10-K |
| 2018-12-31 | 100,000 | 2019-01-23 | 10-K |
| 2017-12-31 | 100,000 | 2018-01-24 | 10-K |
| 2016-12-31 | 100,000 | 2017-01-25 | 10-K |
| 2015-12-31 | 95,000 | 2016-01-27 | 10-K |
| 2014-12-31 | 120,000 | 2015-01-29 | 10-K |
| 2013-12-31 | 123,000 | 2014-01-31 | 10-K |
| 2012-12-31 | 118,000 | 2013-01-31 | 10-K |
| 2011-12-31 | 113,000 | 2012-02-01 | 10-K |
| 2010-12-31 | 108,000 | 2011-02-04 | 10-K |
| 2009-12-31 | 77,000 | 2010-02-05 | 10-K |
| 2008-12-31 | 87,000 | 2009-02-11 | 10-K |
| 2007-12-31 | 80,000 | 2008-02-13 | 10-K |
| 2006-12-31 | 70,000 | 2007-02-16 | 10-K |
| 2005-12-31 | 60,000 | 2006-02-24 | 10-K |
| 2004-12-31 | 52,500 | 2005-03-04 | 10-K |
| 2003-12-31 | 77,000 | 2004-03-03 | 10-K |
| 2002-12-31 | 78,500 | 2003-02-27 | 10-K |
| 2001-12-31 | 81,000 | 2002-02-28 | 10-K405 |
| 2000-12-31 | 60,000 | 2001-03-08 | 10-K405 |
| 1999-12-31 | 55,000 | 2000-03-30 | 10-K |
| 1998-12-31 | 64,000 | 1999-03-30 | 10-K405 |
| 1997-12-31 | 63,500 | 1998-03-30 | 10-K405 |
| 1996-12-31 | 57,000 | 1997-03-31 | 10-K405 |
Limits of this reading
- The filing counts no people by segment or by country; every pattern share rests on segment revenue and description (c).
- The U.S. share is not stated.
Source: the company's annual report on EDGAR, accession 0001193125-26-021017, 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 Slb N.V.'s working time is within reach of AI?
- An estimated 16% now and 29% by the end of 2028, on METR's long-run pace at four in five, from the workforce Slb N.V.'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 Slb N.V. employ?
- 109,000 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states.
- What kinds of work make up Slb N.V.'s workforce?
- Read from its annual report as a blend of 3 industry staffing patterns, the largest Support Activities for Mining; by those patterns the work is about 30% desk work, 13% 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 Slb N.V.'s annual report say about AI?
- 10 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.