Will AI replace materials engineers?

Part of the work, not the whole job. AI could take on about 48% of the working time in a typical materials engineer job today. The other 52% still needs a person.

52% of the work still needs a person.

Needs a person: 52%A person checking AI: 23%AI alone: 25%

The bracket under the bar is the evidence range for the share AI could take on: 37 to 48%. One end comes from how well AI did each responsibility in real use, or a second rating where that isn't measured. The other is our figure, which also follows research across the industry.

18 responsibilities in a typical materials engineer job. Median pay $112,860 a year in the U.S. (BLS, May 2025).

Still needs a person

  • Test materials and products for quality
  • Oversee production and testing in plants
  • Plan lab work to develop new processes AI helps
  • Guide staff developing new materials AI helps
  • Heat treat and work metal alloys
  • Plan and evaluate new projects AI helps

AI can do or help with

  • Solve engineering problems across disciplines AI helps
  • Recommend materials for new products AI helps
  • Plan lab work to develop new processes AI helps
  • Weigh specs against cost AI helps
  • Find why products fail and fix it AI helps
  • Choose ways to fabricate and join materials AI helps

The biggest responsibilities on each side, ranked by a person's time on the left. "AI helps" means AI takes on part of the work, or most of it with a person checking what it produces, so one can show on both sides. See all 18, with the reason for each and the cost of handing them to AI.

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Questions people ask

Will AI replace materials engineers?

Part of the work, not the whole job. AI could take on about 48% of the working time in a typical materials engineer job today. The other 52% still needs a person. That is a split of the work, not a forecast of jobs lost.

Which parts of the job can AI do?

The biggest ones AI can do or help with: solve engineering problems across disciplines, recommend materials for new products, plan lab work to develop new processes, weigh specs against cost, find why products fail and fix it, choose ways to fabricate and join materials.

Which parts still need a person?

The biggest ones: test materials and products for quality, oversee production and testing in plants, plan lab work to develop new processes, guide staff developing new materials, heat treat and work metal alloys, plan and evaluate new projects.

How is this measured?

The U.S. Department of Labor lists 21 responsibilities for this job (O*NET 31.0), and the split covers the 18 people in it do today. Each is scored on 4 questions: can AI do it, does it get it right, must a person sign for it, and do people need to deal with a real person. The split is weighted by how much of the job each responsibility takes up. The evidence range for the share AI could take on is 37 to 48%. One end comes from how well AI did each responsibility in real use, or a second rating where that isn't measured. The other is our figure, which also follows research across the industry. Scores version 0.7.17, updated October 28, 2026.

Responsibilities from O*NET 31.0 (U.S. Department of Labor). Pay from the Bureau of Labor Statistics, May 2025. Scores are calibrated to published research and updated every month. How it works.

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