The Task Exposure Indexv2026.Q3
Occupation · SOC 17-2131.00 · Job Zone 4

AI exposure: Materials Engineers

Evaluate materials and develop machinery and processes to manufacture materials for use in products that must meet specialized design and performance specifications. Develop new uses for known materials. Includes those engineers working with composite materials or specializing in one type of material, such as graphite, metal and metal alloys, ceramics and glass, plastics and polymers, and naturally occurring materials. Includes metallurgists and metallurgical engineers, ceramic engineers, and welding engineers.

Reading this score

computed

35.2% of this occupation's weighted task load is exposed, which puts Materials Engineers at the 61th percentile of 923 occupations. The capability is largely there. Its average task scores 2.3 out of 4 on what a current system can produce, and the frictions that hold other jobs in place are comparatively weak here.

What holds the line here is context. Across this occupation's 21 tasks it averages 2.05 out of 3, the highest of the five friction dimensions. In plain terms, the work depends on knowledge the model cannot hold. Much of this job runs on things that were never written down: what this particular organisation does, what happened last week, what the person across the table actually meant. That context is the barrier, and it erodes as systems are given more access.

The most exposed thing this job does is Plan and implement laboratory operations to develop material and fabrication procedures that..., at 73.3%. The least is Modify properties of metal alloys, at 0.0%. A gap of 73.3% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.

Within architecture and engineering occupations, this one is less exposed than the median of 37.5% across the group's 56 roles, with 38 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.

What would move this score. Of 21 tasks, 13 are currently banded exposed, 4 assisted and 4 untouched. For that distribution to shift materially would take cheaper ways to verify output, since the cost of checking is currently doing more to hold this work in place than the cost of producing it. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.

Task by task

21 tasks, O*NET 31.0
TaskExposedAssistedUntouchedImportanceBand
Plan and implement laboratory operations to develop material and fabrication procedures that meet cost, product specification, and performance standards.73.3%26.7%0.0%3.96exposed
Perform managerial functions, such as preparing proposals and budgets, analyzing labor costs, and writing reports.67.2%24.4%8.3%3.57exposed
Write for technical magazines, journals, and trade association publications.55.0%20.0%25.0%2.52exposed
Plan and evaluate new projects, consulting with other engineers and corporate executives, as necessary.50.0%33.3%16.7%3.77exposed
Monitor material performance, and evaluate its deterioration.50.0%25.0%25.0%3.54exposed
Review new product plans, and make recommendations for material selection, based on design objectives such as strength, weight, heat resistance, electrical conductivity, and cost.45.0%30.0%25.0%4.27exposed
Evaluate technical specifications and economic factors relating to process or product design objectives.45.0%30.0%25.0%4.12exposed
Determine appropriate methods for fabricating and joining materials.45.0%30.0%25.0%3.85exposed
Replicate the characteristics of materials and their components, using computers.45.0%30.0%25.0%3.52exposed
Analyze product failure data and laboratory test results to determine causes of problems and develop solutions.40.0%35.0%25.0%3.86exposed
Guide technical staff in developing materials for specific uses in projected products or devices.26.7%23.3%50.0%3.83exposed
Conduct training sessions on new material products, applications, or manufacturing methods for customers and their employees.26.7%23.3%50.0%3.00exposed
Present technical information at conferences.26.7%23.3%50.0%2.74exposed
Solve problems in a number of engineering fields, such as mechanical, chemical, electrical, civil, nuclear, and aerospace.23.3%26.7%50.0%4.00assisted
Design processing plants and equipment.23.3%26.7%50.0%2.80assisted
Design and direct the testing or control of processing procedures.20.0%30.0%50.0%3.79assisted
Supervise production and testing processes in industrial settings, such as metal refining facilities, smelting or foundry operations, or nonmetallic materials production operations.20.0%30.0%50.0%3.61assisted
Teach in colleges and universities.11.7%13.3%75.0%2.93untouched
Conduct or supervise tests on raw materials or finished products to ensure their quality.10.0%15.0%75.0%4.33untouched
Supervise the work of technologists, technicians, and other engineers and scientists.10.0%15.0%75.0%3.74untouched
Modify properties of metal alloys, using thermal and mechanical treatments.0.0%0.0%100.0%3.50untouched

Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.

Where the score comes from

judged

Every task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.

DimensionMeanScale
Capability2.330-4
Embodiment0.710-3
Presence0.890-3
Accountability1.320-3
Context2.050-3
Verification cost1.700-3

What this means in practice

Where most of a role's weighted task load is exposed, the work that survives is usually the part of the job nobody wrote into the job description: deciding what should be produced rather than producing it, and being answerable for the result. The tasks lowest on this page are a better guide to where to spend your time than any general advice about the future of work.

Occupations either side of this one

The four closest scores in the same occupational family, then the four closest anywhere in the index.

Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.