Mostly Resilient

Last Update: 11/4/2026

AI Resilience Score for Materials Engineers:

56.9%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
Low-medium

Methodology and Scoring Rationale

To score how resilient materials engineering is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from six AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, OpenAI Signals, and Google ATLAS. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For materials engineers, 7 of 9 sources had data, and they split noticeably on AI exposure: AI Resilience Model and Google ATLAS rated human contribution low, while Will Robots Take My Job and OpenAI Signals rated it high, pulling confidence to low-medium. Strong pay signals from Wage Bill pushed the score up, landing the role at "Mostly Resilient."

AI Resilience Report forMaterials Engineers

$112,860 median salary•1,300 annual openings•SOC Code: 17-2131.00

Materials Engineers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Materials engineering is labeled "Mostly Resilient" because AI is changing *how* engineers work rather than replacing them altogether. Tools like self-driving labs and simulation software are taking over repetitive tasks (like running thousands of experiments), but the work of supervising teams, making safety calls on products like jet parts or medical implants, and translating results into real-world solutions still requires human judgment and accountability.

Learn more about how you can thrive in this position

This role is mostly resilient

Materials engineering is labeled "Mostly Resilient" because AI is changing *how* engineers work rather than replacing them altogether. Tools like self-driving labs and simulation software are taking over repetitive tasks (like running thousands of experiments), but the work of supervising teams, making safety calls on products like jet parts or medical implants, and translating results into real-world solutions still requires human judgment and accountability.

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Analysis of current AI resilience

Materials Engineers

Updated quarterly

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Latest AI news for Materials Engineers

These articles highlight how AI is transforming the field of materials engineering, offering exciting opportunities for future careers. For instance, AI is cutting R&D cycles in aerospace materials by up to 70%, enabling faster innovations that materials engineers can leverage. Additionally, generative AI is creating vast libraries of theoretical materials, opening new avenues for discovery. As the industry evolves, embracing AI tools will be crucial for materials engineers, ensuring they remain resilient and relevant in a rapidly changing landscape.

More Career Info

Career: Materials Engineers

They create and test materials to make products stronger, lighter, or better, like designing new metals for cars or plastics for smartphones.

Parent Careers

Alternate Titles

Materials Research Engineer · Metallurgist · Process Engineer · Textile Engineer · Automotive Sheet Metal Engineer · Ceramic Engineer · Extrusion Engineer · Materials Development Engineer · Metallurgical Engineer

Employment & Wage Data

Median Wage

$112,860

Jobs (2025)

23,800

Growth (2025-35)

+7.5%

Annual Openings

1,300

Education

Bachelor's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

95% ResilienceSupplemental

Teach in colleges and universities.

2

92% ResilienceCore Task

Supervise the work of technologists, technicians, and other engineers and scientists.

3

92% ResilienceSupplemental

Present technical information at conferences.

4

90% ResilienceCore Task

Guide technical staff in developing materials for specific uses in projected products or devices.

5

88% ResilienceCore Task

Plan and evaluate new projects, consulting with other engineers and corporate executives, as necessary.

6

85% ResilienceCore Task

Supervise production and testing processes in industrial settings, such as metal refining facilities, smelting or foundry operations, or nonmetallic materials production operations.

7

82% ResilienceCore Task

Plan and implement laboratory operations to develop material and fabrication procedures that meet cost, product specification, and performance standards.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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