Science & Research

Materials Scientists

Official O*NET title: Materials Scientists (19-2032.00)

Also called: applications scientist, materials research engineer, materials scientist, metallurgical engineer, micro electrical/mechanical systems device scientist

✓Your job
2What you do
3Your result
4Your plan

Do you do this at work?

Answer each card — it takes about a minute.

1 of 16
15 yes
Not meYesMAIN TASK

Do you do this at work?

Prepare reports, manuscripts, proposals, and technical manuals for use by other scientists and requestors

Swipe right for yes, left for not me. On a keyboard: → yes, ← not me, Z undo. +2 XP per answer.

How AI is changing materials scientists work

6 of 15 measurable main tasks for this job show up in real AI-use data, so we rate it Amber (some AI use) — 40%.

This shows where people already use AI, not whether the job will disappear. How we measure this.

Tasks in this job and recorded AI use

Tasks: O*NET 31.0. AI use: Anthropic Economic Index (exact or close text match).

Your first steps (guidance)

  1. Week 1: Open a free AI assistant and say hello. Follow our “Getting started with AI” guide. Ask it one simple question about your work.
  2. Week 2: Use AI on one task you do often. Try the prompt for: “Prepare reports, manuscripts, proposals, and technical manuals for use by other scientists and requestors”. Try the prompt for: “Write research papers for publication in scientific journals”.

Tick your own tasks above to get a plan based on what you really do. The first 2 weeks are free; Premium (coming soon) adds weeks 3–12. New to AI? Read our beginner’s guide.

Questions about AI and materials scientists

Will AI replace materials scientists?

Our data can’t predict job losses, and we don’t try to. What it does show: 6 of the 15 main tasks for this job match tasks people already use AI for (Anthropic Economic Index), giving a Amber rating (some AI use). Using AI on a task is not the same as AI doing the whole job, and 9 of the 16 listed tasks show no recorded AI use yet.

Which materials scientist tasks is AI used for most?

In the data, the most AI use among this job’s tasks is for: prepare reports, manuscripts, proposals, and technical manuals for use by other scientists and requestors; write research papers for publication in scientific journals; talk with customers to determine how to tailor materials to their needs.

Which materials scientist tasks show little or no AI use?

For example: conduct research on the structures and properties of materials; test material samples for tolerance under tension, compression, and shear to determine the cause of metal failures; determine ways to strengthen or combine materials or develop new materials with new or specific properties for use in a variety of products and applications. These are good places to keep building your own skills.

How does this job compare to others?

In Microsoft Research’s “Working with AI” study, this job’s AI applicability score is equal to or higher than 79% of the occupations they scored. That measures overlap with AI chat use, not risk of job loss.

How can a materials scientist start learning AI?

Start small: open a free AI assistant, try it on one task you do often, and always check facts and numbers yourself. The plan on this page is guidance, not professional advice.

See how this job ranks

Materials Scientists ranks #188 of 572 jobs for the share of main tasks with AI use (#1 = most), and #25 of 45 in Science & Research.

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