Occupation baseline · Research consensus
Will AI replace Materials Scientists?
Baseline AI displacement risk for Materials Scientists, aggregated from 6 research sources.
What this score means
Materials Scientists sits in the middle of the exposure range for Research & Science. Routine parts of the job are starting to automate, but much of it still depends on judgment, relationships, and context that today's models handle poorly. At 45 out of 100 it scores 6 points above the Research & Science average of 39. Across the 6 sources behind this baseline, individual estimates run from 28 to 52, so the score is a weighted consensus rather than any single figure.
The number is a consensus estimate for the typical version of the role, built from published academic and industry research scored occupation by occupation. It is not a prediction about any individual. How scoring works
What this job actually involves
Exposure follows the work itself rather than the job title, so it is worth seeing what the role is made of. These are the tasks O*NET records for Materials Scientists, most central first, showing 12 of 16.
- 01Conduct 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.
- 02Test 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.
- 03Test material samples for tolerance under tension, compression, and shear to determine the cause of metal failures.
- 04Determine ways to strengthen or combine materials or develop new materials with new or specific properties for use in a variety of products and applications.
- 05Prepare reports, manuscripts, proposals, and technical manuals for use by other scientists and requestors, such as sponsors and customers.
- 06Plan laboratory experiments to confirm feasibility of processes and techniques used in the production of materials with special characteristics.
- 07Recommend materials for reliable performance in various environments.
- 08Supervise and monitor production processes to ensure efficient use of equipment, timely changes to specifications, and project completion within time frame and budget.
- 09Research methods of processing, forming, and firing materials to develop such products as ceramic dental fillings, unbreakable dinner plates, and telescope lenses.
- 10Perform 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.
- 11Devise testing methods to evaluate the effects of various conditions on particular materials.
- 12Test individual parts and products to ensure that manufacturer and governmental quality and safety standards are met.
Task statements from O*NET by the National Center for O*NET Development, used under CC BY 4.0. The tasks are descriptive; the exposure score above is ours.
The research behind this score
This baseline aggregates 6 research sources that scored Materials Scientists for AI and automation exposure. More recent, higher confidence studies carry more weight in the final number.
- 01Anthropic Economic Index 2026 - AI Task Exposure · 2026Anthropic
- 02Global Automation Atlas: Task Substitution Exposure by Occupation · 2026Garg, Crosta, Baier (2026), arXiv:2605.17086
- 03Generative AI and Jobs: A Refined Global Index of Occupational Exposure · 2025International Labour Organization, Working Paper 140 (2025)
- 04Working with AI: Measuring the Applicability of Generative AI to Occupations · 2025Tomlinson, Jaffe et al., Microsoft Research (2025)
- 05GPTs are GPTs: Labor Market Impact Potential of LLMs · 2024Eloundou, Manning, Mishkin, Rock (Science, 2024)
- 06AI Occupational Exposure to Language Modeling · 2023Felten, Raj, Seamans (2023)
Common questions
- How likely is AI to replace Materials Scientists?
- Published research puts Materials Scientists at 45 out of 100 for AI displacement risk, in the transitioning band. The number is a weighted consensus of 6 research sources and describes the typical version of the role, not any individual.
- Do researchers agree on the risk for Materials Scientists?
- Only partly. Individual estimates for Materials Scientists run from 28 to 52 out of 100 across the 6 sources behind this score, so the single number smooths over real disagreement. More recent and higher confidence studies carry more weight in it.
- Which research & science roles face similar AI exposure?
- The closest published research & science roles to Materials Scientists by score are Animal Scientists (45/100), Bioinformatics Scientists (45/100), and Chemists (45/100). Each has its own page with the research behind its number.
Also covers
Applications Scientist · Material Science Engineer · Materials Research Engineer · Materials Scientist · Metal Alloy Scientist · Metallurgical Engineer · Metallurgist · Micro Electrical/Mechanical Systems Device Scientist (MEMS Device Scientist) and related titles
Estimated displacement window
The dated estimate for this role is included in the full personalised report.
Your number is not the baseline
Seniority, sector, and how much of your day is routine all shift the score. Answer a few questions and get your personal risk score free, no signup.
Get my personal scoreFree · No credit card · No signup
More research & science occupations
- Historians46/100
- School Psychologists46/100
- Social Scientists and Related Workers, All Other46/100
- Animal Scientists45/100
- Bioinformatics Scientists45/100
- Chemists45/100
- Atmospheric and Space Scientists44/100
- Quality Control Analysts44/100
Informational guidance based on published research, not professional career or financial advice. Scores update as new research is ingested.