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AI and jobs

Will AI Replace Water Treatment Operators? (2026)

The Bureau of Labor Statistics places water treatment operators in its low AI exposure category, among the occupations least exposed to current AI. BLS projects employment to fall by 5.7% over 2025–2035, against 3.5% for all occupations, with about 10,000 openings a year.

Short answer

Very unlikely. BLS rates water treatment operators among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do.

BLS AI exposure
LowBLS EP supplemental table
AI-resilience score
52/100Higher than 66% of jobs · NueCareer
Projected change
-5.7%BLS EP 2025–2035; all jobs 3.5%
Openings a year
10,000BLS EP 2025–2035

The federal measure

How exposed water treatment operators are to AI

The Bureau of Labor Statistics publishes a relative AI exposure category for each occupation it projects, built from five public measures of where AI could be, or already is, used to assist with or complete the work. Water Treatment Operators land in the low category: among the occupations least exposed to current AI.

Where this job sits on the BLS scale

786 occupations in the NueCareer bank, in BLS's four relative categories; width shows how many fall in each

  1. Low · this job203 occupations · 26%
  2. Moderate194 occupations · 25%
  3. High190 occupations · 24%
  4. Very high199 occupations · 25%

Source: BLS Employment Projections, AI exposure categories supplemental table.

  1. Exposure is relative. The categories rank occupations against each other; they are not a probability that a job is automated.
  2. BLS says exposure does not imply job loss, productivity gains, automation probability or wage effects. A highly exposed job can still grow if AI makes the people in it more productive.
  3. The classification reflects AI capabilities as the underlying studies measured them. Read the BLS method and limitations.

Inside the work

What AI can and cannot do in this job

O*NET rates how important each work activity is to an occupation and how often each working condition comes up. The ratings below are the ones that move the job's NueCareer AI-resilience score the most: the ones that pull it up, and the ones that pull it down. Only ratings clearly above the midpoint count.

What holds up

Physical, hands-on and person-to-person work

  • Face-to-face discussions4.8/5
    O*NET work context, frequency or level
  • Repairing and maintaining mechanical equipment3.9/5
    O*NET work activity, importance
  • Working outdoors in all weather4.7/5
    O*NET work context, frequency or level
  • Operating vehicles, mechanized devices, or equipment4.1/5
    O*NET work activity, importance

What AI reaches first

Routine, repeatable and screen-based work

  • Documenting/recording information4.3/5
    O*NET work activity, importance
  • Processing information4.2/5
    O*NET work activity, importance
  • Evaluating information to determine compliance with standards4.5/5
    O*NET work activity, importance
  • Email4.8/5
    O*NET work context, frequency or level

The tasks O*NET lists for water treatment operators

  • Collect and test water and sewage samples, using test equipment and color analysis standards.
  • Operate and adjust controls on equipment to purify and clarify water, process or dispose of sewage, and generate power.
  • Record operational data, personnel attendance, or meter and gauge readings on specified forms.
  • Inspect equipment or monitor operating conditions, meters, and gauges to determine load requirements and detect malfunctions.
  • Add chemicals, such as ammonia, chlorine, or lime, to disinfect and deodorize water and other liquids.
  • Direct and coordinate plant workers engaged in routine operations and maintenance activities.

O*NET 31.0 Database task statements, most important first.

The jobs

Will there still be jobs?

Exposure says where AI meets the work. The BLS projection says what the labor market is expected to do over 2025–2035. BLS projects -5.7% change in employment over the decade, against 3.5% across all occupations, and about 10,000 openings a year once retirements and career changes are counted. About 128,490 people work in the job today, at a median of $60,020 a year (BLS OEWS, May 2025).

Full water and wastewater treatment plant and system operator profile: pay by state, entry route and skills

Options

Related careers that are also low-exposure

Careers O*NET lists as related to the work, or in the same field at similar pay, that BLS places in a low exposure category.

  1. Paper Goods Machine Setter, Operator, and Tender

    Production

    Median pay
    $50,270median a year
    Growth
    −3.6%
    Openings / yr
    9,000
    Education
    High school
    Low
    BLS AI exposure
    58/100
    resilience

    Set up, operate, or tend paper goods machines that perform a variety of functions, such as converting, sawing, corrugating, banding, wrapping, boxing, stitching, forming, or sealing paper or paperboard sheets into pro…

  2. Mixing and Blending Machine Setter, Operator, and Tender

    Production

    Median pay
    $48,990median a year
    Growth
    −6.1%
    Openings / yr
    7,900
    Education
    High school
    Low
    BLS AI exposure
    58/100
    resilience

    Set up, operate, or tend machines to mix or blend materials, such as chemicals, tobacco, liquids, color pigments, or explosive ingredients.

  3. Engine and Other Machine Assembler

    Production

    Median pay
    $53,710median a year
    Growth
    −17.0%
    Openings / yr
    2,100
    Education
    High school
    Low
    BLS AI exposure
    58/100
    resilience

    Construct, assemble, or rebuild machines, such as engines, turbines, and similar equipment used in such industries as construction, extraction, textiles, and paper manufacturing.

  4. Structural Metal Fabricator and Fitter

    Production

    Median pay
    $51,330median a year
    Growth
    −6.2%
    Openings / yr
    4,800
    Education
    High school
    Low
    BLS AI exposure
    56/100
    resilience

    Fabricate, position, align, and fit parts of structural metal products.

  5. Tire Builder

    Production

    Median pay
    $57,390median a year
    Growth
    +0.8%
    Openings / yr
    1,900
    Education
    High school
    Low
    BLS AI exposure
    56/100
    resilience

    Operate machines to build tires.

  6. Gas Compressor and Gas Pumping Station Operator

    Transportation and Material Moving

    Median pay
    $77,320median a year
    Growth
    +2.1%
    Openings / yr
    300
    Education
    High school
    Low
    BLS AI exposure
    53/100
    resilience

    Operate steam-, gas-, electric motor-, or internal combustion-engine driven compressors.

Questions

Will AI Replace Water Treatment Operators? FAQ

Will AI replace water treatment operators?

Very unlikely. BLS rates water treatment operators among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to fall by 5.7% over 2025–2035, against 3.5% for all occupations, with about 10,000 openings a year.

How exposed are water treatment operators to AI?

BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Water Treatment Operators are in the low category, alongside 202 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.

What parts of a water and wastewater treatment plant and system operator's job can AI do?

In O*NET's description of the work, the parts that overlap most with what AI handles well are documenting/recording information, processing information and evaluating information to determine compliance with standards. The parts that hold up best are face-to-face discussions, repairing and maintaining mechanical equipment and working outdoors in all weather. These come from O*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.

Is being a water and wastewater treatment plant and system operator a safe career from AI?

On NueCareer's AI-resilience score, built from O*NET work activities, water treatment operators score 52 out of 100, higher than 66% of the occupations we score. The job pays a median of $60,020 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.

What careers similar to water treatment operators are less exposed to AI?

Paper Goods Machine Setter, Operator, and Tender (low exposure, $50,270 median), Mixing and Blending Machine Setter, Operator, and Tender (low exposure, $48,990 median), Engine and Other Machine Assembler (low exposure, $53,710 median), Structural Metal Fabricator and Fitter (low exposure, $51,330 median). Each is also in the low category, and most are listed by O*NET as related to the work.

The AI exposure category is the Bureau of Labor Statistics'. The AI-resilience score and the activity breakdown are NueCareer's analysis of O*NET 31.0 Database data (method), not a federal figure. More: jobs most exposed to AI, jobs least exposed to AI, or check any job.