The AES Corporation (AES)
Power generator and utility operator worldwide. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed March 2, 2026. Ranked 27 of the 30 Utilities companies read so far, by the share within reach now.
Within reach now
21%
End of 2028
41%
Employees, annual report
8,336
Leading staffing pattern
Electric Power Generation, Transmission and Distribution
Share of the working time within reach, long-run pace, four times in five
- Now21%
- End of 202735%
- End of 202841%
- End of 203045%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 53%
- Becomes checking a model's work 38%
- Handed over with lighter checks 5%
A power company whose filing states 8,336 full-time employees with union shares by region and nothing by business, so the whole workforce is read at electric power.
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: 21% now, 35% at the end of 2027, 41% at the end of 2028, 45% at the end of 2030. By the patterns, the work is about 45% desk work, 15% people work and 41% 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), 38% 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
8,336 employees as of December 31, 2025 (stated). Not stated: the filing gives union shares for its U.S. and non-U.S. employees but no count by country; the data service's 37% United States is revenue.
The filing: “As of December 31, 2025, the Company and its subsidiaries had 8,336 full time/permanent employees.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Electric Power Generation, Transmission and Distribution | 100% | By description (c): the filing describes renewable, gas and other generation businesses and utilities in the United States and abroad, with no count by business, so the whole workforce is read at electric power, as NextEra's was. |
What the filing says about the workforce: 8,336 full-time/permanent employees as of December 31, 2025 (9,100 a year earlier); about 31% of U.S. employees and 48% of the non-U.S. workforce under collective bargaining agreements, 25% of all under agreements expiring by the end of 2026; lost time incident rate 0.086 for employees; about 48% of locations certified to ISO 45001.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Electric Power Generation, Transmission and Distribution, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.
- The Southern Company (SO, 29,800 employees)22% now, 45% by 2028
- PG&E Corporation (PCG, 29,010 employees)21% now, 42% by 2028
- Duke Energy Corporation (DUK, 26,441 employees)21% now, 41% by 2028
- Exelon Corporation (EXC, 20,571 employees)22% now, 45% by 2028
- American Electric Power Company, Inc. (AEP, 17,581 employees)24% now, 50% by 2028
- NextEra Energy, Inc. (NEE, 17,400 employees)21% now, 41% by 2028
- NRG Energy, Inc. (NRG, 16,702 employees)19% now, 32% by 2028
- Consolidated Edison, Inc. (ED, 15,407 employees)21% now, 42% by 2028
What the filing says about AI
13 sentences in the filing name AI. The filing says its Renewables business is positioned for the growth in data centers driven by power demand for generative artificial intelligence, and that it works with major technology companies to power their data centers with clean energy.
- “See Item 7.- Management's Discussion and Analysis of Financial Condition and Results of Operations -SBU Performance Analysis-Non-GAAP Measures for reconciliation and definition. 12 | 2025 Annual Report Renewables Our Renewables SBU is well-positioned to take advantage of the growth in data centers driven by the increase in power demand for generative artificial intelligence.”
- “The expansion of data center needs related to the growing use of generative artificial intelligence are expected to be a significant accelerant to the growth of the U.S. renewables market and AES seeks to capture a significant portion of this market expansion.”
- “AES has worked with several major technology companies to provide clean energy solutions to power their networks of data centers, and we expect these relationships to expand as the rapid adoption of generative artificial intelligence drives significant growth in data center electricity demand.”
- “This segment includes ownership stakes in third-party platforms and internally developed initiatives, such as investments in Fluence, Maximo, the AI Fund, Uplight, and 5B.”
- “Fluence, the AI Fund, and Uplight are unconsolidated entities and their results are reported in Net equity in losses of affiliates on our Consolidated Statements of Operations. 5B is accounted for using the measurement alternative and AES will record income or loss only when it receives dividends from 5B or when there is a change in the observable price or an impairment of the investment.”
Its annual reports, year by year
Sentences naming AI in each annual report, counted by one rule, beside the median report in the Index that year. Each count links its filing. Every company, by year and sector
- Fiscal 20210median 0
- Fiscal 20221median 0
- Fiscal 20234median 1
- Fiscal 20248median 4
- Fiscal 202513median 10
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 | 8,336 | 2026-03-02 | 10-K |
| 2024-12-31 | 9,100 | 2025-03-11 | 10-K |
| 2023-12-31 | 9,600 | 2024-02-26 | 10-K |
| 2022-12-31 | 9,100 | 2023-03-01 | 10-K |
| 2021-12-31 | 8,450 | 2022-02-28 | 10-K |
| 2020-12-31 | 8,200 | 2021-02-25 | 10-K |
| 2019-12-31 | not read | 2020-02-28 | 10-K |
| 2018-12-31 | not read | 2019-02-27 | 10-K |
| 2017-12-31 | 4,500 | 2018-02-27 | 10-K |
| 2016-12-31 | 4,300 | 2017-02-27 | 10-K |
| 2015-12-31 | 4,100 | 2016-02-24 | 10-K |
| 2014-12-31 | 18,500 | 2015-02-26 | 10-K |
| 2013-12-31 | 22,000 | 2014-02-26 | 10-K |
| 2012-12-31 | 25,000 | 2013-02-27 | 10-K |
| 2011-12-31 | 27,000 | 2012-02-27 | 10-K |
| 2010-12-31 | 29,000 | 2011-02-28 | 10-K |
| 2009-12-31 | 27,000 | 2010-02-26 | 10-K |
| 2008-12-31 | 25,000 | 2009-02-26 | 10-K |
| 2007-12-31 | 28,000 | 2008-03-17 | 10-K |
| 2006-12-31 | 32,000 | 2007-05-23 | 10-K |
| 2005-12-31 | 30,000 | 2006-04-04 | 10-K |
| 2004-12-31 | 30,000 | 2005-03-30 | 10-K |
| 2003-12-31 | 30,000 | 2004-03-15 | 10-K |
| 2002-12-31 | 36,000 | 2003-03-26 | 10-K |
| 2001-12-31 | 38,000 | 2002-03-25 | 10-K |
| 2000-12-31 | 26,606 | 2001-03-27 | 10-K |
| 1999-12-31 | 14,500 | 2000-03-30 | 10-K |
| 1998-12-31 | 11,700 | 1999-03-30 | 10-K |
| 1997-12-31 | 10,000 | 1998-03-31 | 10-K |
| 1996-12-31 | 5,700 | 1997-03-31 | 10-K |
Limits of this reading
- The U.S. share is not stated.
- The count is of full-time/permanent employees as the filing states it.
- No count by business: generation and utilities are read at one pattern by description (c); the data service's segment table (Utilities 100%) is not the business mix.
Source: the company's annual report on EDGAR, accession 0000874761-26-000063, 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.
The report on The AES Corporation, $29
This page as a document to keep, with what it does not show: the share within reach at every date on three paces and two reliabilities, a typical workforce of this shape at the stated headcount role by role and task by task (the industries' staffing, never the company's roster), where to start, what changes for the people and what they would learn, every sentence in the filing that names AI, the headcount by year, the companies read with the same leading pattern, the method and a citation line. To print or save as a PDF, open again in your browser for a year.
See the report, $29See the sample first: Walmart's report is free
Questions about this company
- How much of The AES Corporation's working time is within reach of AI?
- An estimated 21% now and 41% by the end of 2028, on METR's long-run pace at four in five, from the workforce The AES 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 The AES Corporation employ?
- 8,336 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states.
- What kinds of work make up The AES Corporation's workforce?
- Read from its annual report as a blend of 1 industry staffing pattern, the largest Electric Power Generation, Transmission and Distribution; by those patterns the work is about 45% desk work, 15% people work and 41% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does The AES Corporation's annual report say about AI?
- 13 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 0, 1, 4, 8 and 13 sentences, year by year. 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 19, 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.