Water and Wastewater Treatment Plant and System Operators

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

• Record operational data, personnel attendance, or meter and gauge readings on specified forms.66
• Add chemicals, such as ammonia, chlorine, or lime, to disinfect and deodorize water and other liquids.65
• Operate and adjust controls on equipment to purify and clarify water, process or dispose of sewage, and generate power.65

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Maintain, repair, and lubricate equipment, using hand tools and power tools.55
• Clean and maintain tanks, filter beds, and other work areas, using hand tools and power tools.53
• Inspect equipment or monitor operating conditions, meters, and gauges to determine load requirements and detect malfunctions.46

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

The current data release does not distinguish durable tasks for this role.

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 59 puts Water and Wastewater Treatment Plant and System Operators in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 5 of 8 analyzed tasks lean automatable, 3 augmentable, and 0 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

• $60,020median wage
• 128,490employed
• 10,700annual openings
• -6.5%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Chemical Plant and System Operators 60
• Biomass Plant Technicians 63
• Power Plant Operators 65
• Hydroelectric Plant Technicians 54
• Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders 53
• Chemical Equipment Operators and Tenders 57

FAQ — Water and Wastewater Treatment Plant and System Operators

What does a score of 59 mean for a Water and Wastewater Treatment Plant and System Operators?

It means that, weighted across the 8 tasks we analyzed for this role, the task mix sits at 59 on a 0–100 exposure scale — in the third quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

The highest-exposure tasks are: Record operational data, personnel attendance, or meter and gauge readings on specified forms; Add chemicals, such as ammonia, chlorine, or lime, to disinfect and deodorize water and other liquids; Operate and adjust controls on equipment to purify and clarify water, process or dispose of sewage, and generate power. Exposure is scored per task from structured data, not generated by a language model.

Which parts of this job are most durable?

The current data release does not distinguish durable tasks for this role.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.