Will AI replace Materials Scientists?
AI reaches a large part of this job’s work.
55/100
High exposure
More exposed to AI than 85% of US workers.
- AI already used in
- 12% of the work
- As AI tools mature: up to
- 61% of the work
What the job involves
Research and study the structures and chemical properties of various natural and synthetic or composite materials, including metals, alloys, rubber, ceramics, semiconductors, polymers, and glass. 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. Includes glass scientists, ceramic scientists, metallurgical scientists, and polymer scientists.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(2)
- Prepare reports, manuscripts, proposals, and technical manuals for use by other scientists and requestors, such as sponsors and customers.
- Perform experiments and computer modeling to study the nature, structure, and physical and chemical properties of metals and their alloys, and their responses to applied forces.
Within reach(8)
- Conduct research on the structures and properties of materials, such as metals, alloys, polymers, and ceramics, to obtain information that could be used to develop new products or enhance existing ones.
- 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.
- Recommend materials for reliable performance in various environments.
- Plan laboratory experiments to confirm feasibility of processes and techniques used in the production of materials with special characteristics.
- Devise testing methods to evaluate the effects of various conditions on particular materials.
and 3 more
Out of reach(6)
- Test material samples for tolerance under tension, compression, and shear to determine the cause of metal failures.
- Test metals to determine conformance to specifications of mechanical strength, strength-weight ratio, ductility, magnetic and electrical properties, and resistance to abrasion, corrosion, heat, and cold.
- Visit suppliers of materials or users of products to gather specific information.
- Supervise and monitor production processes to ensure efficient use of equipment, timely changes to specifications, and project completion within time frame and budget.
- Test individual parts and products to ensure that manufacturer and governmental quality and safety standards are met.
and 1 more
Also called
Materials Scientist · Materials Research Engineer · Metallurgical Engineer · Scientist · Polymer Specialist · Applications Scientist · Micro Electrical/Mechanical Systems Device Scientist (MEMS Device Scientist) · Polymer Materials Consultant
Related jobs
- Materials Engineers30/100
- Nanosystems Engineers47/100
- Chemical Engineers35/100
- Microsystems Engineers51/100
- Manufacturing Engineers49/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics