O*NET: Materials Scientists·19-2032.00
The Verdict:Materials scientists blend lab experimentation with computational modeling, where AI excels at simulations and predictions but cannot replicate hands-on synthesis and property testing in novel conditions. Human judgment shapes real-world applications from alloys to ceramics. AI augments discovery but core physical innovation remains human-led, with steady evolution ahead.
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. 2 of 17 tasks are classified as AI-exposed.
This role has a mixed AI profile.
2 tasks are automatable, 47% reward AI fluency, and 7 remain human-essential.
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 Scientist lands in Stable & Well-Paid