35
/100

SOC 19-2032

Materials Scientists

ModerateFrey/Osborne: 2.1%

Risk Score

โš ๏ธ

35/100

Moderate

US Employment

๐Ÿ‘ฅ

8,330

Total workers

Median Wage

๐Ÿ’ฐ

$104K

$61K โ€“ $169K

Projected Growth

๐Ÿ“ˆ

+4.9%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

67/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Materials Scientists face a risk score of 35/100 โ€” 9 points below the national average of 44. With 67/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $104K ($58K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 35/100, Materials Scientists faces moderate automation pressure. While tasks like ai coding assistants reducing developer demand are increasingly handled by AI, the role retains significant human elements. The 8,330 workers in this occupation should focus on strengthening skills in collaborative scientific discourse and peer review and designing novel experiments and research methodologies to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Materials Scientists?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI coding assistants reducing developer demand

2

AI-powered research and literature review tools

3

Chatbot displacement of customer-facing interactions

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Collaborative scientific discourse and peer review

โœ“

Designing novel experiments and research methodologies

โœ“

Interpreting ambiguous results with domain expertise

โœ“

Ethical oversight of research involving human subjects

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

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.

โ€ข

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.

โ€ข

Test material samples for tolerance under tension, compression, and shear to determine the cause of metal failures.

โ€ข

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.

โ€ข

Prepare reports, manuscripts, proposals, and technical manuals for use by other scientists and requestors, such as sponsors and customers.

๐Ÿ’ป Technology Skills

โ€ข

Analytical or scientific software

โ€ข

Electronic mail software

โ€ข

Web platform development software

โ€ข

Data base user interface and query software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Engineering and Technology

โ€ข

Chemistry

โ€ข

Physics

โ€ข

Mathematics

โ€ข

Computers and Electronics

๐Ÿ“Š vs National Average

Median Wage$104K
+$58K

National avg: $46K

Risk Score35/100
-9

National avg: 44/100

GenAI Exposure67/100
+29

National avg: 38/100

Projected Growth4.9%
+1.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Dentists, All Other Specialists13$226K69%
Political Scientists25$139K80%
Social Scientists and Related Workers21$93K78%