Casella Waste Systems, Inc. (CWST)
Waste collection and disposal, 4,500 in operations. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed February 20, 2026. Ranked 175 of the 198 Industrials companies read so far, by the share within reach now.
Within reach now
16%
End of 2028
22%
Employees, annual report
5,600
Leading staffing pattern
Waste Collection
Share of the working time within reach, long-run pace, four times in five
- Now16%
- End of 202720%
- End of 202822%
- End of 203022%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 77%
- Becomes checking a model's work 15%
- Handed over with lighter checks 7%
Casella’s approximately 5,600 employees, 4,500 of them in collection, transfer, disposal and recycling operations, serve the northeastern waste markets, split by description.
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, 20% at the end of 2027, 22% at the end of 2028, 22% at the end of 2030. By the patterns, the work is about 22% desk work, 10% people work and 68% 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 77% of the working time stays with people (conversation, in-person and hands-on work), 15% 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
5,600 employees as of January 31, 2026 (stated). The filing’s human capital section counts no employees by country; its regions are in the northeastern United States.
The filing: “As of January 31, 2026, we employed approximately 5,600 employees, including approximately 1,100 managerial, sales, clerical, information systems or other administrative employees and approximately 4,500 employees involved in collection, transfer, disposal, recycling, organics or other operations.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Waste Collection | 70% | By (a) and description: the 4,500 in operations are mostly drivers and collection crews, collection being 74% of revenue, waste collection. |
| Waste Treatment and Disposal | 18% | By description (c): transfer stations and landfills, 15% of revenue, waste treatment and disposal work among the counted operations employees. |
| Remediation and Other Waste Management Services | 12% | By description (c): recycling and organics facilities with their sorters, processing services at 9% of revenue, materials recovery facilities. |
What the filing says about the workforce: Approximately 5,600 employees: about 1,100 managerial, sales, clerical, information systems or other administrative and 4,500 in collection, transfer, disposal, recycling, organics or other operations; about 270 under collective bargaining agreements; the series rose from 2,500 in 2020 with acquisitions.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Waste Collection, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.
- Waste Management, Inc. (WM, 60,500 employees)16% now, 22% by 2028
- Republic Services, Inc. (RSG, 42,000 employees)16% now, 22% by 2028
- Waste Connections, Inc. (WCN, 24,214 employees)16% now, 21% by 2028
What the filing says about AI
8 sentences in the filing name AI. The filing names AI eight times: AI being evaluated for route optimization, pricing, forecasting and decision support, and its risks.
- “While we have purchased insurance coverage for cybersecurity risks, there can be no assurance that any such coverage would be adequate to cover potential liability. 27 Table of Contents Inability to effectively adopt and manage artificial intelligence technologies could adversely affect our business, results of operations, and competitive position.”
- “We are evaluating and may increasingly incorporate artificial intelligence, including generative artificial intelligence, into certain aspects of our operations, customer engagement, and internal processes, including route optimization, asset utilization, pricing, forecasting and decision support.”
- “The development, adoption, and use of artificial intelligence technologies are evolving rapidly and remain subject to uncertainty.”
- “If we are unable to effectively integrate artificial intelligence into our systems and processes, realize anticipated efficiencies or insights, or otherwise adapt to the use of artificial intelligence, our ability to compete and operate efficiently could be adversely affected.”
- “The use of artificial intelligence also presents risks, including the potential for inaccurate, biased, or inconsistent outputs; privacy, data protection, and cybersecurity concerns; risks associated with automated or assisted decision-making; and the potential exposure or misuse of confidential or proprietary information.”
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 20220median 0
- Fiscal 20230median 1
- Fiscal 20240median 4
- Fiscal 20258median 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 | 5,600 | 2026-02-20 | 10-K |
| 2024-12-31 | 5,100 | 2025-02-18 | 10-K |
| 2023-12-31 | 4,200 | 2024-02-16 | 10-K |
| 2022-12-31 | 3,200 | 2023-02-17 | 10-K |
| 2021-12-31 | 2,900 | 2022-02-18 | 10-K |
| 2020-12-31 | 2,500 | 2021-02-19 | 10-K |
| 2019-12-31 | 2,500 | 2020-02-21 | 10-K |
| 2018-12-31 | 2,300 | 2019-02-22 | 10-K |
| 2017-12-31 | 2,000 | 2018-03-02 | 10-K |
| 2016-12-31 | 2,000 | 2017-03-02 | 10-K |
| 2015-12-31 | 1,900 | 2016-03-02 | 10-K |
| 2014-04-30 | 1,800 | 2014-06-27 | 10-K |
| 2013-04-30 | 1,800 | 2013-06-27 | 10-K |
| 2012-04-30 | 1,800 | 2012-06-28 | 10-K |
| 2011-04-30 | 1,800 | 2011-06-20 | 10-K |
| 2010-04-30 | 2,386 | 2010-06-11 | 10-K |
| 2009-04-30 | 2,393 | 2009-06-16 | 10-K |
| 2008-04-30 | 2,720 | 2008-06-20 | 10-K |
| 2007-04-30 | 2,800 | 2007-06-22 | 10-K |
| 2006-04-30 | 2,900 | 2006-06-22 | 10-K |
| 2005-04-30 | 2,600 | 2005-06-28 | 10-K |
| 2004-04-30 | 2,600 | 2004-06-25 | 10-K |
| 2003-04-30 | 2,500 | 2003-07-24 | 10-K |
| 2002-04-30 | 2,594 | 2002-07-12 | 10-K |
| 2001-04-30 | 3,200 | 2001-07-30 | 10-K405 |
| 2000-04-30 | 3,700 | 2000-08-04 | 10-K |
| 1999-04-30 | 1,401 | 1999-07-29 | 10-K |
| 1998-04-30 | 1,043 | 1998-06-25 | 10-K |
Limits of this reading
- The 1,100 administrative count bundles managers and sales with clerical and systems staff and stays inside the patterns (rule 6).
- The headcount series rises from 2,500 to 5,600 with acquisitions; the years are not like for like.
Source: the company's annual report on EDGAR, accession 0000911177-26-000008, 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.
The report on Casella Waste Systems, Inc., $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 Casella Waste Systems, Inc.'s working time is within reach of AI?
- An estimated 16% now and 22% by the end of 2028, on METR's long-run pace at four in five, from the workforce Casella Waste Systems, 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 Casella Waste Systems, Inc. employ?
- 5,600 as of January 31, 2026, as its annual report for the period ending December 31, 2025 states.
- What kinds of work make up Casella Waste Systems, Inc.'s workforce?
- Read from its annual report as a blend of 3 industry staffing patterns, the largest Waste Collection; by those patterns the work is about 22% desk work, 10% people work and 68% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does Casella Waste Systems, Inc.'s annual report say about AI?
- 8 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 0, 0, 0, 0 and 8 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.