O*NET: Materials Engineers·17-2131.00
The Verdict:Materials engineering blends computational analysis with physical testing of alloys and fabrication. AI accelerates simulations and data review, enabling faster iterations, but hands-on experimentation, industrial supervision, and cross-team judgment remain human-driven. The role evolves with AI tools but core material development resists full automation.
Score tiers
How much of this role's daily work remains beyond AI and robotic automation.
The degree to which this job needs a human present — hands-on, in the field, or in the room.
How important the unique human edge is — for trust, accountability, or judgment.
How strong the legal requirement is for a human in this job (by law, licensing, or credentials).
How far AI remains from performing this role's core functions.
The volume of jobs in this field being eliminated by AI or automation right now.
Median annual wage from the Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS), May 2024 release.
Projected change in total number of jobs (not salary) from 2024–2034. Source: Bureau of Labor Statistics Employment Projections.
Percentage of this role's analyzed tasks that AI can handle autonomously or nearly so. 1 of 21 tasks are classified as AI-exposed.
Most of this role rewards AI fluency.
62% of tasks (13 of 21) become more productive with AI tools — learning to use them is the highest-leverage career move.
Tasks AI can do autonomously or nearly so
Master these tools — humans who do outperform those who don't
Tasks requiring trust, presence, or novel judgment
Materials Engineer lands in Stable & Well-Paid