62
/100

SOC 51-8031

Water and Wastewater Treatment Plant and System Operators

High RiskFrey/Osborne: 61.0%

Risk Score

โš ๏ธ

62/100

High Risk

US Employment

๐Ÿ‘ฅ

126,750

Total workers

Median Wage

๐Ÿ’ฐ

$58K

$38K โ€“ $86K

Projected Growth

๐Ÿ“ˆ

-6.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

59/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Water and Wastewater Treatment Plant and System Operators face a risk score of 62/100 โ€” 18 points above the national average of 44. With 59/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $58K ($12K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 62/100, Water and Wastewater Treatment Plant and System Operators faces moderate automation pressure. While tasks like industrial robotics replacing manual assembly tasks are increasingly handled by AI, the role retains significant human elements. The 126,750 workers in this occupation should focus on strengthening skills in setup and calibration of custom production runs and quality judgment requiring tactile and visual inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Water and Wastewater Treatment Plant and System Operators?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Industrial robotics replacing manual assembly tasks

2

Cobots handling repetitive material handling tasks

3

AI quality inspection via computer vision systems

4

Predictive maintenance reducing manual inspection roles

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Setup and calibration of custom production runs

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Coordinating workflow across diverse production teams

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Add chemicals, such as ammonia, chlorine, or lime, to disinfect and deodorize water and other liquids.

โ€ข

Collect and test water and sewage samples, using test equipment and color analysis standards.

โ€ข

Record operational data, personnel attendance, or meter and gauge readings on specified forms.

โ€ข

Operate and adjust controls on equipment to purify and clarify water, process or dispose of sewage, and generate power.

โ€ข

Inspect equipment or monitor operating conditions, meters, and gauges to determine load requirements and detect malfunctions.

๐Ÿ’ป Technology Skills

โ€ข

Compliance software

โ€ข

Data base user interface and query software

โ€ข

Geographic information system

โ€ข

Industrial control software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Chemistry

โ€ข

Biology

โ€ข

Mechanical

โ€ข

Mathematics

โ€ข

Public Safety and Security

๐Ÿ“Š vs National Average

Median Wage$58K
+$12K

National avg: $46K

Risk Score62/100
+18

National avg: 44/100

GenAI Exposure59/100
+21

National avg: 38/100

Projected Growth-6.5%
-10.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K69%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K59%
Fabric and Apparel Patternmakers33$68K73%