Not assessed
unknown
sources: BLS OES (approx) · O*NET
0 sources
27 core tasks shown
Water/Wastewater Engineers High exposure: 4 of 27 core tasks show high task automation potential : exposure 50/100 (not assessed).
No model has published evidence mapped to this occupation yet - the score comes from generic task assessment.
Score breakdown
Why this score?
Every component is stored with the score row and can be recomputed from the evidence table.
Methodology - · score - · input hash -
Strength of current models on the capabilities this job's tasks require.
Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.
Evidence that AI is actually being used for this work.
Observed changes in postings, employment or earnings.
Quantity and source quality of the evidence behind the score.
0 evidence item(s) contribute. Calculated -.
Overview
Design or oversee projects involving provision of potable water, disposal of wastewater and sewage, or prevention of flood-related damage. Prepare environmental documentation for water resources, regulatory program compliance, data management and analysis, and field work. Perform hydraulic modeling and pipeline design.
Employment
-
approx. BLS OES
Median wage
-
approx. BLS OES
Tasks tracked
27
linked to this occupation
Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.
Tasks
Task-level automation exposure
Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.
core task · importance 4.7/5
- Review and critique proposals, plans, or designs related to water or wastewater treatment systems.35
core task · importance 4.3/5
core task · importance 4.2/5
core task · importance 4/5
core task · importance 4/5
core task · importance 4/5
core task · importance 4/5
core task · importance 3.9/5
core task · importance 3.9/5
core task · importance 3.8/5
core task · importance 3.8/5
core task · importance 3.8/5
core task · importance 3.8/5
core task · importance 3.7/5
core task · importance 3.7/5
core task · importance 3.7/5
core task · importance 3.6/5
core task · importance 3.6/5
core task · importance 3.6/5
core task · importance 3.6/5
core task · importance 3.6/5
core task · importance 3.5/5
core task · importance 3.5/5
core task · importance 3.5/5
core task · importance 3.4/5
core task · importance 3.4/5
core task · importance 3.3/5
Evidence
Evidence trail
0 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.
No occupation-specific evidence has been mapped yet. This occupation is scored from generic task assessment only - a genuinely weaker basis, and the reason its score is marked low-confidence.
Historical trend
Exposure over time
Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.
No series yet
This chart fills in once the first snapshot is recorded.
Reconstruction, not measurement. 0 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.
Recent events
Signals affecting this occupation
No events match this filter yet. New verified events appear here as analysis completes.
Related
Related Occupations
Occupations sharing major SOC group (17) with Water/Wastewater Engineers.
faq
Frequently Asked Questions
Common questions regarding Water/Wastewater Engineers and AI exposure.
Will AI replace Water/Wastewater Engineers?
Current AI models show an exposure score of 50/100 for Water/Wastewater Engineers. This measures technical capability to assist or automate specific tasks rather than predicted immediate job loss. Moderate exposure reflects assistance in routine information-handling while core responsibilities require human judgment.
Which tasks in Water/Wastewater Engineers have the highest AI exposure?
The most exposed tasks for Water/Wastewater Engineers include "Perform hydraulic analyses of water supply systems or water distribution networks to model flow characteristics, test f…" (85% exposure) and "Write technical reports or publications related to water resources development or water use efficiency." (85% exposure).
What aspects of Water/Wastewater Engineers can AI not do yet?
Tasks with the lowest AI exposure for Water/Wastewater Engineers include "Oversee the construction of decentralized or on-site wastewater treatment systems, including reclaimed water facilities." (5% exposure) and "Provide technical direction or supervision to junior engineers, engineering or computer-aided design (CAD) technicians,…" (5% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.
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Notice: All ratings shown are AI-estimated technical exposure scores measuring technical capabilities across O*NET task statements, not predicted job loss. Contains information from O*NET 31.0 by the U.S. Department of Labor, ETA, used under CC BY 4.0.