Polymer Scientists
Life, Physical & Social SciencesAI exposure
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.184
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.29
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 69% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Exposed tasks only| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Write research papers for publication in scientific journals.19-2032 | 0.050062.5 | 0.00000.0 |
Confer with customers to determine how to tailor materials to their needs.19-2032 | 0.030037.5 | 0.0100100.0 |
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.19-2032 | 0.00000.0 | 0.00000.0 |
Devise testing methods to evaluate the effects of various conditions on particular materials.19-2032 | 0.00000.0 | —0 |
Recommend materials for reliable performance in various environments.19-2032 | 0.00000.0 | —0 |
Teach in colleges and universities.19-2032 | 0.00000.0 | —0 |
Prepare reports, manuscripts, proposals, and technical manuals for use by other scientists and requestors, such as sponsors and customers.19-2032 | 0.00000.0 | —0 |
Supervise and monitor production processes to ensure efficient use of equipment, timely changes to specifications, and project completion within time frame and budget. | —0 | 0.00000.0 |
| Not observed on any surface — 8 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Plan laboratory experiments to confirm feasibility of processes and techniques used in the production of materials with special characteristics. | —0 | —0 |
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. | —0 | —0 |
Test individual parts and products to ensure that manufacturer and governmental quality and safety standards are met. | —0 | —0 |
Visit suppliers of materials or users of products to gather specific information. | —0 | —0 |
Research methods of processing, forming, and firing materials to develop such products as ceramic dental fillings, unbreakable dinner plates, and telescope lenses. | —0 | —0 |
Test material samples for tolerance under tension, compression, and shear to determine the cause of metal failures. | —0 | —0 |
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. | —0 | —0 |
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. | —0 | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Prepare reports, manuscripts, proposals, and technical manuals for use by other scientists and requestors, such as sponsors and customers.O*NET Task ID 20214 | 1.0 |
Write research papers for publication in scientific journals.O*NET Task ID 21175 | 1.0 |
Plan laboratory experiments to confirm feasibility of processes and techniques used in the production of materials with special characteristics.O*NET Task ID 9085 | 0.5 |
Confer with customers to determine how to tailor materials to their needs.O*NET Task ID 9086 | 0.5 |
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.O*NET Task ID 9087 | 0.5 |
Devise testing methods to evaluate the effects of various conditions on particular materials.O*NET Task ID 9089 | 0.5 |
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.O*NET Task ID 9090 | 0.5 |
Recommend materials for reliable performance in various environments.O*NET Task ID 9091 | 0.5 |
Test individual parts and products to ensure that manufacturer and governmental quality and safety standards are met.O*NET Task ID 9092 | 0.5 |
Research methods of processing, forming, and firing materials to develop such products as ceramic dental fillings, unbreakable dinner plates, and telescope lenses.O*NET Task ID 9094 | 0.5 |
Visit suppliers of materials or users of products to gather specific information.O*NET Task ID 9093 | 0.0 |
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.O*NET Task ID 9098 | 0.0 |
Teach in colleges and universities.O*NET Task ID 9099 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page