Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Materials Engineers:
59.9%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
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.
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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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Materials Engineers
Updated Quarterly
How is AI changing Materials Engineers jobs?
Right now, AI is mostly augmenting materials engineers — helping them work faster — rather than replacing them. The biggest change is in the "digital twin" part of the job: using computers to simulate how new metals, plastics, or ceramics will behave. ASM International's Materials Informatics Technical Committee [1] is pushing "pre-competitive collaboration among its members to expedite the industry-wide adoption of artificial intelligence and machine learning in materials science." Trade groups are all-in: the Minerals, Metals & Materials Society is hosting the 4th World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2026) [2] to "focus on the role of artificial intelligence (AI) in materials science and engineering and related manufacturing processes."
Behind the scenes, "self-driving labs" combine AI with robots that run experiments day and night. At Argonne National Laboratory, AI can "run thousands of experiments, evaluate results, identify patterns and determine next steps," [3] freeing researchers for more complex tasks. The Materials Research Society is highlighting the same trend, spotlighting autonomous material discovery specialists ranging "from those in lab automation and high-throughput material synthesis to experts in automated characterization and materials testing" [4].
The tasks least touched — supervising teams, consulting with executives, and guiding technicians — still need human judgment.
Sources
How fast is AI adoption growing for Materials Engineers?
Adoption is speeding up because the payoff is huge. McKinsey's 2025 R&D report [5] argues leaders shouldn't just "automate steps in that legacy process; you need to fundamentally rethink the way that products are concepted, designed, and taken to market end to end." Faster simulations mean cheaper prototypes and quicker breakthroughs in batteries, chips, and aerospace alloys.
But the field won't flip overnight. Materials work involves safety-critical products (jet parts, medical implants) that require certification, testing standards, and human accountability. Labor demand is also solid: the Bureau of Labor Statistics projects materials engineer employment growing about 5.7% from 2024 to 2034, adding roughly 1,300 jobs [6], with median wages above $108,000.
The takeaway for students: learn the science and learn to work with AI tools. The engineers who thrive will be the ones who can guide the machines, verify their answers, and translate results into real-world products.
Sources
Will AI replace Materials Engineers?
No. We don't think AI will replace Materials Engineers, though we do expect the job to change.
We gave this career a 59.9% AI Resilience Score, meaning it holds up better than most. The biggest shift is already happening in simulation and discovery: self-driving labs at places like Argonne National Laboratory can run thousands of experiments automatically, evaluate results, and identify patterns [3]. That is genuinely transformative. But it frees engineers for harder problems rather than eliminating them. The tasks AI handles least well, such as supervising teams, consulting with executives, and making judgment calls on safety-critical products like jet parts or medical implants, still need a human in the loop.
The economic picture supports optimism too. The Bureau of Labor Statistics projects materials engineer employment growing about 5.7% from 2024 to 2034, adding roughly 1,300 jobs, with median wages above $108,000 [6]. Industry groups are leaning into the human-plus-AI model: the Materials Research Society is spotlighting autonomous material discovery as a growing specialty [4], and McKinsey argues the real opportunity is rethinking how products are conceived and designed end to end, not just automating old steps [5].
The engineers who thrive will be the ones who can guide AI tools, verify their outputs, and translate results into real products. That combination is hard to automate.
Sources
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Latest AI news for Materials Engineers
These AI-related articles highlight the transformative impact of artificial intelligence on materials engineering careers. For instance, the piece on CuspAI illustrates how a successful AI materials company is attracting significant investment, signaling a growing demand for engineers skilled in AI applications. Additionally, the article on AI's role in materials design demonstrates how AI can enhance innovation in developing new materials, crucial for future engineering projects. Embracing AI technologies can help aspiring materials engineers stay relevant and resilient in a rapidly evolving field.
AI Disrupts Engineering Resins and Polymer Materials
www.globenewswire.com • 8/19/2026
Learn how AI is reshaping material innovation, production processes, and competition in the global engineering resins, polymer alloys and...
Imperial expert leads science at £2 billion AI materials company CuspAI
www.imperial.ac.uk • 7/20/2026
A UK-based AI materials company co-led by an Imperial materials scientist has raised £330 million at a £2 billion valuation to accelerate...
AI-assisted quantitative deciphering of molecular configuration and steric effects for high-performance zinc battery electrolytes | Communications Materials
www.nature.com • 2/13/2026
Zinc-ion batteries depend on molecular design of electrolyte additives for performance optimization. However, the influence of molecular...
Leading the future of materials science education in the AI era
engineering.wisc.edu • 1/7/2026
Artificial intelligence opens enormous opportunities to transform materials science and materials-driven technologies, and the Department of...
AI can transform innovation in materials design – here's how
www.weforum.org • 6/24/2025
Picture this scenario: David, a materials scientist at a top artificial intelligence (AI)-enabled lab, collaborates with an AI platform to...
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
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
Teach in colleges and universities.
2
Supervise the work of technologists, technicians, and other engineers and scientists.
3
Present technical information at conferences.
4
Guide technical staff in developing materials for specific uses in projected products or devices.
5
Plan and evaluate new projects, consulting with other engineers and corporate executives, as necessary.
6
Supervise production and testing processes in industrial settings, such as metal refining facilities, smelting or foundry operations, or nonmetallic materials production operations.
7
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.
