Materials Engineers

Architecture and Engineering
0%
AI Risk
37% AI risk — Medium risk level
Moderate Risk
37% • Medium exposure
Based on task-level analysis (O*NET)

AI Impact Assessment

This job may see some changes due to AI, but human skills remain important.

Materials Engineers with an AI automation risk score of 37%. Analysis includes 21 core tasks.

Safer Career Paths

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Key Tasks

Design processing plants and equipment.

Risk: 74%

Teach in colleges and universities.

Risk: 18%

Evaluate technical specifications and economic factors relating to process or product design objectives.

Risk: 83%

Present technical information at conferences.

Risk: 20%

Analyze product failure data and laboratory test results to determine causes of problems and develop solutions.

Risk: 64%

Design and direct the testing or control of processing procedures.

Risk: 83%

Monitor material performance

Risk: 4%

Conduct or supervise tests on raw materials or finished products to ensure their quality.

Risk: 56%

Upskilling Courses

Data Sources

Analysis based on O*NET data

Method: rule+context+activity+calibration
Materials Engineers — AI Risk 37% | IMJS