34
/100

SOC 17-2131

Materials Engineers

ModerateFrey/Osborne: 2.1%

Risk Score

โš ๏ธ

34/100

Moderate

US Employment

๐Ÿ‘ฅ

22,770

Total workers

Median Wage

๐Ÿ’ฐ

$108K

$68K โ€“ $172K

Projected Growth

๐Ÿ“ˆ

+5.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

76/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Materials Engineers face a risk score of 34/100 โ€” 10 points below the national average of 44. With 76/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $108K ($62K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 34/100, Materials Engineers faces moderate automation pressure. While tasks like large language model automation of analysis tasks are increasingly handled by AI, the role retains significant human elements. The 22,770 workers in this occupation should focus on strengthening skills in safety-critical judgment in design review and cross-disciplinary collaboration on complex projects to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Materials Engineers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Large language model automation of analysis tasks

2

AI-optimized manufacturing process design

3

Automated data interpretation and insight generation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Safety-critical judgment in design review

โœ“

Cross-disciplinary collaboration on complex projects

โœ“

Client communication and technical consultation

โœ“

On-site problem-solving in variable physical conditions

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

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

โ€ข

Design and direct the testing or control of processing procedures.

โ€ข

Monitor material performance, and evaluate its deterioration.

โ€ข

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

โ€ข

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

๐Ÿ’ป Technology Skills

โ€ข

Analytical or scientific software

โ€ข

Computer aided design CAD software

โ€ข

Object or component oriented development software

โ€ข

Enterprise resource planning ERP software

โ€ข

Development environment software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Engineering and Technology

โ€ข

Chemistry

โ€ข

Physics

โ€ข

Production and Processing

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$108K
+$62K

National avg: $46K

Risk Score34/100
-10

National avg: 44/100

GenAI Exposure76/100
+38

National avg: 38/100

Projected Growth5.7%
+2.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K78%
Electronics Engineers, Except Computer29$128K70%
Chemical Engineers30$122K83%