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AI exposure report

Will AI replace Materials Engineers?

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

Task exposure to today's AI

39/100

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 Materials Engineers?

Not entirely. Today's AI tools can take on about 39% of the typical work in this occupation, mostly: perform managerial functions, such as preparing proposals and budgets, analyzing labor costs, and writing reports. The parts that stay human include: Conduct or supervise tests on raw materials or finished products to ensure their quality.; Design and direct the testing or control of processing procedures.; Analyze product failure data and laboratory test results to determine causes of problems and develop solutions..

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
Perform managerial functions, such as preparing proposals and budgets, analyzing labor costs, and writing reports. 75%
Analyze product failure data and laboratory test results to determine causes of problems and develop solutions. 53%
Design and direct the testing or control of processing procedures. 45%
Plan and implement laboratory operations to develop material and fabrication procedures that meet cost, product specification, and performance standards. 45%
Supervise the work of technologists, technicians, and other engineers and scientists. 33%
Conduct or supervise tests on raw materials or finished products to ensure their quality. 20%

+ 15 more tasks (51% of the week) in the full test.

Your human edge

  • Conduct or supervise tests on raw materials or finished products to ensure their quality.
  • Design and direct the testing or control of processing procedures.
  • Analyze product failure data and laboratory test results to determine causes of problems and develop solutions.

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 failure-analysis report and its material specification with AI from your lab notes, verify every ASTM clause against the source standard, 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 screens 3 candidate alloys or composites for one component, then hand-check its property and stress calculations against your design code.

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

Build an AI-assisted analysis template for one tensile or process sensor dataset, write a one-page rule on what AI may never sign off, and train 2 technicians on it.
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