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Materials Scientist

Based on 35 assessments

23% Low risk

Average realistic automation risk across all Materials Scientist profiles in the dataset.

Raw potential
50%
Realistic risk
23%
Research benchmark ?
52%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 35 profiles. Middle half of Materials Scientists score between 19% and 26%.

0% 50% 100%
p10 · 17%
29% · p90
On-screen work 22%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 54%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 23%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Materials Scientist, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Designing and conducting experiments to synthesize new materials (e.g., alloys, polymers, or composites) in a lab setting, including preparing samples and adjusting parameters like temperature or pressure
deep expertise social element
31% AD 10%
Collaborating with engineers, product developers, or other scientists to translate material research into practical applications (e.g., for aerospace, electronics, or medical devices)
deep expertise
19% AA 2%
Analyzing material properties (e.g., strength, conductivity, or corrosion resistance) using tools like electron microscopes, X-ray diffraction, or spectroscopy, and interpreting the data
deep expertise
14% AD 18%
Developing or refining computational models (e.g., using density functional theory or molecular dynamics) to predict material behavior or simulate experimental outcomes
14% DD 57%
Troubleshooting experimental failures or unexpected results, often requiring hands-on adjustments to equipment or protocols
deep expertise social element
12% AA 3%
Reviewing scientific literature or attending conferences to stay updated on advancements in materials science and identify new research opportunities
deep expertise
3% AD 7%
Writing technical reports, research papers, or grant proposals to document findings, secure funding, or share results with colleagues or stakeholders
some context needed
3% DD 36%

Work as a Materials Scientist? Map your specific role.

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