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AI exposure report

Will AI replace Water/Wastewater Engineers?

Some of your tasks will be automated. People who use AI will have the edge.

Task exposure to today's AI

44/100

Moderate exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Water/Wastewater Engineers?

Not entirely. Today's AI tools can take on about 44% of the typical work in this occupation, mostly: write technical reports or publications related to water resources development or water use efficiency. The parts that stay human include: Provide technical direction or supervision to junior engineers, engineering or computer-aided design (CAD) technicians, or other technical personnel.; Review and critique proposals, plans, or designs related to water or wastewater treatment systems.; Design domestic or industrial water or wastewater treatment plants, including advanced facilities with sequencing batch reactors (SBR), membranes, lift stations, headworks, surge overflow basins, ultraviolet disinfection systems, aerobic digesters, sludge lagoons, or control buildings..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable
Write technical reports or publications related to water resources development or water use efficiency. 75%
Design domestic or industrial water or wastewater treatment plants, including advanced facilities with sequencing batch reactors (SBR), membranes, lift stations, headworks, surge overflow basins, ultraviolet disinfection systems, aerobic digesters, sludge lagoons, or control buildings. 53%
Review and critique proposals, plans, or designs related to water or wastewater treatment systems. 50%
Perform hydraulic analyses of water supply systems or water distribution networks to model flow characteristics, test for pressure losses, or to identify opportunities to mitigate risks and improve operational efficiency. 45%
Design water distribution systems for potable or non-potable water. 42%
Provide technical direction or supervision to junior engineers, engineering or computer-aided design (CAD) technicians, or other technical personnel. 15%

+ 22 more tasks (59% of the week) in the full test.

Your human edge

  • Provide technical direction or supervision to junior engineers, engineering or computer-aided design (CAD) technicians, or other technical personnel.
  • Review and critique proposals, plans, or designs related to water or wastewater treatment systems.
  • Design domestic or industrial water or wastewater treatment plants, including advanced facilities with sequencing batch reactors (SBR), membranes, lift stations, headworks, surge overflow basins, ultraviolet disinfection systems, aerobic digesters, sludge lagoons, or control buildings.

AI tools to try

ChatGPT / Claude for calculations, specs and reportsAI features in CAD/BIM toolsCopilot for scripts (Python, MATLAB, Dynamo)

Related roles

A 3-phase AI learning plan

Phase 1

AI for documentation

  • Specifications, reports and change notes drafted with AI.
  • Standards and regulations searched with AI, checked in the source.
  • Meeting notes and RFIs summarised.

Project

Draft a full technical report on one water reuse or treatment upgrade with AI, verify every cited regulation in the source document, and log hours saved versus your last report.

Phase 2

AI in design work

  • Scripts and parametric design written with AI help.
  • Option studies and quick estimates with AI as a sparring partner.
  • Check AI outputs against calculations and codes.

Project

Use AI to write a Python script that batch-runs hydraulic network scenarios, then compare pressure and headloss results against three hand calculations and your model.

Phase 3

Engineering + AI

  • Data from sensors, tests or simulations analysed with AI.
  • Define where AI is not allowed (safety-critical sign-off).
  • Share methods and templates with your team.

Project

Analyse a month of SCADA flow and aeration data with AI to find 3 efficiency opportunities, and publish a one-page team template marking safety-critical sign-off as AI-free.
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