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JOB REPORT / 19-2032 · 16 TASKS

Materials Scientists.

Can AI do the work of Materials Scientists?

Mostly it works alongside you. Here is what shifts, task by task.

YOUR EXPERIENCE MATTERS

How does this fit your work?

How many tasks do you use AI to assist with at work?

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The mark shows what’s typical for this job.

The parts of your job AI can already do most of:

  • Write research papers for publication in scientific journals
  • Research methods of processing, forming, and firing materials…
  • Conduct research on the structures and properties of materials

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A guided certificate program in AI-assisted Materials Scientists work. It covers the 14 AI-affected parts of your job and ends in a capstone a person reviews.

WHAT WE LOOKED AT

Your job, task by task.

14 of 16 tasks reviewed

This job has 16 core tasks. We went through 14 of them, one at a time.

Task by task, from the work Materials Scientists actually do. How we describe AI use in each task is our own read of it, not a measurement of whether AI can replace the job.

  1. TASK 01

    Write research papers for publication in scientific journals.

    AI DOES

    Drafts literature reviews, cleans up writing, suggests citations, and formats sections

    YOU DO

    Supply the original experiments, data interpretation, and scientific insight that make the paper worth publishing

  2. TASK 02

    Research methods of processing, forming, and firing materials to develop such products as ceramic dental fillings, unbreakable dinner plates, and telescope lenses.

    AI DOES

    Searches research papers, summarizes processing methods, and flags relevant studies on firing temperatures and forming techniques

    YOU DO

    Design novel experiments and judge which material trade-offs matter most for the real product

  3. TASK 03

    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.

    AI DOES

    Searches research papers, spots patterns in material data, and drafts hypotheses or experiment plans

    YOU DO

    Design novel experiments, handle physical samples, and judge which findings truly matter for new products

  4. TASK 04

    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.

    AI DOES

    Searches research databases, predicts material properties using models, and suggests possible combinations based on existing data

    YOU DO

    Design novel experiments, judge which ideas are worth testing, and verify results through hands-on lab work

  5. TASK 05

    Recommend materials for reliable performance in various environments.

    AI DOES

    Searches materials databases, ranks candidates by property matches, and flags known failure modes

    YOU DO

    Apply physical intuition, weigh untested edge cases, and own the final recommendation

  6. TASK 06

    Devise testing methods to evaluate the effects of various conditions on particular materials.

    AI DOES

    Searches research databases, summarizes existing test standards, and drafts initial testing frameworks based on material type and conditions

    YOU DO

    Judge whether a proposed test actually captures real-world conditions and invent new approaches when no standard exists

  7. TASK 07

    Plan laboratory experiments to confirm feasibility of processes and techniques used in the production of materials with special characteristics.

    AI DOES

    Searches research literature, drafts experiment plans, and suggests test parameters based on known material science data

    YOU DO

    Apply hands-on lab expertise and judgment to refine, prioritize, and safely execute novel experiment designs

  8. TASK 08

    Supervise and monitor production processes to ensure efficient use of equipment, timely changes to specifications, and project completion within time frame and budget.

    AI DOES

    Monitors sensor data, flags spec deviations, and tracks budget and timeline progress in real time

    YOU DO

    Stay on the floor to make fast calls, read team dynamics, and handle unexpected equipment or safety issues

  9. TASK 09

    Teach in colleges and universities.

    AI DOES

    Drafts lecture notes, quizzes, and explanations of complex materials science topics

    YOU DO

    Show up, build trust, and read the room with real students

  10. TASK 10

    Test individual parts and products to ensure that manufacturer and governmental quality and safety standards are met.

    AI DOES

    Analyzes test results, compares data to safety standards, and flags out-of-spec readings

    YOU DO

    Handle physical samples, run lab equipment, and make final safety calls

  11. TASK 11SOURCE-BACKED TASK

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

    AI DOES

    Drafts sections and formats technical content

    YOU DO

    Shape the story and ensure accuracy

    About this analysis

    44% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  12. TASK 12SOURCE-BACKED TASK

    Confer with customers to determine how to tailor materials to their needs.

    AI DOES

    Suggests product options based on customer data

    YOU DO

    Listen deeply and build real trust

    About this analysis

    24% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  13. TASK 13SOURCE-BACKED TASK

    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.

    AI DOES

    Runs simulations and processes experimental data

    YOU DO

    Design experiments and interpret results

    About this analysis

    16% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  14. TASK 14SOURCE-BACKED TASK

    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.

    AI DOES

    Analyzes test data and suggests patterns

    YOU DO

    Set up tests and judge what results mean

    About this analysis

    0% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

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Data sources and attribution

This page includes information from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. rtwoai has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.

Wage and employment figures are from the U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (2025). Job outlook is from the BLS Employment Projections program, 2024–34. BLS data are in the public domain. BLS has not reviewed or endorsed this page.

Task collaboration data is from the Anthropic Economic Index, release 2025-03-27, used under the CC BY 4.0 license. Anthropic has not reviewed or endorsed this page.

How we describe AI use in each task is our own characterization, not a measurement of whether AI can replace this job. Microsoft note that their metrics "should not be misconstrued or misrepresented as measuring the ability of AI to replace jobs," and that there is more to an occupation than the sum of its tasks.

Can AI do the work of Materials Scientists? — rtwoai