Water and Wastewater Treatment Plant and System Operators
In short: today's best AI models could do about 33% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about the same by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 67% of the time, stays with people.
Operate or control an entire process or system of machines, often through the use of control boards, to transfer or treat water or wastewater.
128,490 people do this job in the US. $60,020 a year.
Reviewed on September 30, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on0 h
- A person checks AI's work13 h
- Desk work AI can't do yet0 h
- Stays with people27 h
Water and Wastewater Treatment Plant and System Operators, now: of a 40-hour week, AI could take on 0 hours, 13 hours become checking its work, 0 hours are desk work it can't do yet, and 27 hours stay with people.
The largest pieces: Record operating data (about 4 h, a person checks); Operate treatment controls (about 3 h, a person checks); Monitor conditions and inspect equipment (about 3 h, a person checks).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 6%
- 27%
- 0%
- 9%
- 57%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
What handing it over would take, now
The 33% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.
of the working time. The material can be handed to a model and the result handed back.
of the working time. The model has to be connected to the system the work lives in.
is conversation short enough by length. This site leaves conversation with people, so it is not in the total.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 2%. With Claude Mythos Preview (early), measured in April 2026, 31%. Today's estimate: 33%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
None of this job's 8 tasks showed up in the Claude.ai conversations Anthropic sampled in any of its 7 releases, from February 2025 to May 2026.
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 84% of this job's working time as physical work. For 69% of the working time, a robot has been shown doing most of the task somewhere: 42% in a purpose-built cell, 27% in a structured facility. 0.96 of 3, the 136th highest of the 923 jobs.
- Not physical 16%
- No robot shown 15%
- In a purpose-built cell 42%
- In a structured facility 27%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
What changes for the people in this job
From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.
What stays with people
67% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Collect and test samples, the hands-on work, 15%
- Add treatment chemicals, the hands-on work, 12%
- Clean tanks and filter beds, the hands-on work, 10%
- Direct plant workers, the in-person work, 9%
- Monitor conditions and inspect equipment, the hands-on work, 8%
- Maintain and repair equipment, the hands-on work, 7%
What becomes checking the machine
33% of the working time: desk work a model could do by then, in tasks where a mistake costs something or a licensed person signs. A person checks it.
- Record operating data, costly if wrong, 11%
- Operate treatment controls, a licensed person signs, 8%
- Monitor conditions and inspect equipment, a licensed person signs, 8%
- Direct plant workers, severe if wrong, 6%
What to learn
- Judgment where errors are severe. Some tasks are severe if wrong. Knowing when not to trust an output matters more there than speed.
- The hands-on craft. About 57% of the time is hands-on work, which no model here does; robots are rated separately on this page.
- Signing off under your license. Some tasks need a licensed, certified or sworn person to do or sign them. The license, and the judgment it stands for, stays with the person.
- Reviewing work you did not do yourself. The tasks under What becomes checking the machine, where a mistake costs something, stay a person's to check or sign: spotting what a draft gets wrong is a skill of its own.
- Running AI inside the business systems. About 27% of the time is work inside business systems, which a model can do only once it is connected: knowing the systems well enough to set that up and watch it.
Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).
The tasks
Sorted by . 8 tasks from .
| Task | ||||
|---|---|---|---|---|
| Inspect equipment or monitor operating conditions, meters, and gauges to determine load requirements and detect malfunctions.Watching the meters and gauges and walking the equipment.Done daily by most who do it. Robots: in a structured facility, ANYmal (ANYbotics) (deployed). Anthropic's rating. | 16% | 50 min17 min to 2.1 h | Systems 50%, hands-on 50% | 50%Desk part half by now |
| Direct and coordinate plant workers engaged in routine operations and maintenance activities.Leading the workers on the plant floor, with the planning behind it.Done daily by most who do it. | 15% | 50 min25 min to 1.7 h | In person 60%, documents 40% | 40%Desk part half by now |
| Collect and test water and sewage samples, using test equipment and color analysis standards.Samples taken and tested with the equipment and color standards.Done daily by most who do it. Robots: in a purpose-built cell, Hach CL17sc Colorimetric Chlorine Analyzer (deployed). Anthropic's rating. | 15% | 38 min17 min to 1.7 h | Hands-on 100% | Stays with people |
| Operate and adjust controls on equipment to purify and clarify water, process or dispose of sewage, and generate power.The process run from the control board, with adjustments at the equipment.Done several times a day by most who do it. Robots: in a purpose-built cell, DO/Nmaster MPC/AI aeration control (Ekster & Associates) at Chico WWTP (deployed). Anthropic's rating. | 14% | 33 min13 min to 1.3 h | Systems 60%, hands-on 40% | 60%Desk part half by now |
| Add chemicals, such as ammonia, chlorine, or lime, to disinfect and deodorize water and other liquids.Chlorine, ammonia and lime added at the plant.Done daily by most who do it. Robots: in a structured facility, Hach RTC-C/DC Real Time Control module (with CL17sc/TRC analyzers and chemical feed pumps) (sold). Anthropic's rating. | 12% | 25 min13 min to 1.3 h | Hands-on 100% | Stays with people |
| Record operational data, personnel attendance, or meter and gauge readings on specified forms.Readings and attendance entered on the forms.Done several times a day by most who do it. | 11% | 17 min8 min to 38 min | Systems 100% | 100%Half by now |
| Clean and maintain tanks, filter beds, and other work areas, using hand tools and power tools.Cleaning the tanks and beds by hand.Done more than monthly by most who do it. Robots: in a purpose-built cell, WeirWasher Automated Cleaning System (ACS) (GillTeq / distributed by Crane Engineering) (deployed). Anthropic's rating. | 10% | 2.5 h50 min to 6.7 h | Hands-on 100% | Stays with people |
| Maintain, repair, and lubricate equipment, using hand tools and power tools.Hand and power tool work on the equipment.Done more than weekly by most who do it. Robots: no robot shown. Anthropic's rating. | 7% | 1.7 h38 min to 3.3 h | Hands-on 100% | Stays with people |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Chemical Plant and System Operators22% now, 22% by 2028
- Biomass Plant Technicians7% now, 7% by 2028
- Power Plant Operators45% now, 45% by 2028
- Hydroelectric Plant Technicians11% now, 11% by 2028
- Gas Plant Operators16% now, 16% by 2028
- Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders5% now, 5% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Water and Wastewater Treatment Plant and System Operators is within reach of AI now?
- An estimated 33% of the working time is within reach of AI models now and 33% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Water and Wastewater Treatment Plant and System Operators come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Record operating data (100% of the task's time now); Operate treatment controls (60% of the task's time now); and Monitor conditions and inspect equipment (50% of the task's time now).
- Which tasks of Water and Wastewater Treatment Plant and System Operators stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Collect and test samples; Add treatment chemicals; and Clean tanks and filter beds. Together such tasks are about 44% of the working time, and the people and body parts of the other tasks stay with people too.
- What should Water and Wastewater Treatment Plant and System Operators learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are judgment where errors are severe; the hands-on craft; and signing off under your license. By the end of 2028 on the long-run pace at four in five, about 67% of the working time stays with people, 33% becomes checking a model's work and 0% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
- Do people already use AI for the work of Water and Wastewater Treatment Plant and System Operators?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Water and Wastewater Treatment Plant and System Operators?
- Anthropic's robot exposure rating (September 2026) finds 84% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 69% of the working time, 27% in a structured facility. Its index is 0.96 of 3. One example: ANYmal (ANYbotics) for "monitor conditions and inspect equipment". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 8 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on September 30, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
This job in your state or metro area
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.
Your own version of this job
The page above is the occupation. Your job is your title and what you actually do: give both, and they are read against these tasks in your browser, nothing sent anywhere. The headline is free: how much of your working time is within reach now and by the end of 2028, and how many of the tasks your description names.
The full personal report is $19, to print or save as a PDF: every task with when it comes within reach, which ones your description names, the parts of your description the task list does not cover, what stays with you, what becomes checking the machine and what to learn.