17-2131.00

Materials Engineers

Evaluate materials and develop machinery and processes to manufacture materials for use in products that must meet specialized design and performance specifications. Develop new uses for known materials. Includes those engineers working with composite materials or specializing in one type of material, such as graphite, metal and metal alloys, ceramics and glass, plastics and polymers, and naturally occurring materials. Includes metallurgists and metallurgical engineers, ceramic engineers, and welding engineers.

1.7OUT OF 10SAFEHIGH RISK
Low Risk

You're basically automation-proof

Safer than 11% of occupations we track

Frey & Osborne (2013) estimated 2% probability of automation for this role
paper →
11%
of jobs safer
911
jobs riskier than this
+5.7%
projected growth

Disruption Vector

Disruption Type

Hybrid Threat

Both AI software and physical automation threaten different aspects of this role, creating a compound risk from multiple directions.

Materials engineers are using AI tools like Citrine Informatics and Aflow for materials property prediction and inverse design—dramatically accelerating the discovery of alloys, polymers, and coatings. Experimental validation, failure analysis of novel materials in production, and translating lab discoveries to manufacturing processes remain human-intensive. By 2027, AI compresses the discovery phase significantly but creates new demand for engineers who can bridge AI-predicted materials to real-world manufacturability.

Disrupted byBoston DynamicsChatGPT / GPT-4oAmazon Robotics

Salary & Job Outlook

Median Annual Pay
$108,310
US Bureau of Labor Statistics
10-Year Job Growth
+5.7%
Faster than average
Education Required
Bachelor's degree
Job Zone 4 / 5

AI Risk Timeline

1.7
2.0
2.3
2.9
Today
5 Years
10 Years
20 Years

Projection model: Based on current AI capability growth rates. High-risk occupations are projected to see compounding automation pressure, while human-centric roles show slower risk accumulation. These are statistical projections, not guarantees.

Skills Analysis — AI Vulnerability

AI can replicate (0)
AI-resistant (1)
Mixed
Critical Thinking80%
Active Learning75%
Complex Problem Solving78%
Judgment and Decision Making82%
Reading Comprehension72%

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Materials Engineers

1.7
/ 10
Low Risk
17% automation risk

"Congrats — you are delightfully robot-proof. Go touch some grass."

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MATERIALS ENGINEERS
1.7

/ 10

LOW RISK

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You're safer than 11% of all knowledge workers we track.

This analysis is for informational purposes only and is based on statistical models and academic research. It does not constitute career advice and is not a guarantee of future employment outcomes. AI impact varies significantly by employer, region, and individual circumstances. Learn about our methodology →