Cosmochemists
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
0.261
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.39
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, 44% 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
Show 9 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Analyze organic or inorganic compounds to determine chemical or physical properties, composition, structure, relationships, or reactions, using chromatography, spectroscopy, or spectrophotometry techniques.19-2031 | 0.140689.9 | 0.174197.4 |
Study effects of various methods of processing, preserving, or packaging on composition or properties of foods.19-2031 | 0.00744.7 | —0 |
Confer with scientists or engineers to conduct analyses of research projects, interpret test results, or develop nonstandard tests.19-2031 | 0.00523.3 | 0.00160.9 |
Induce changes in composition of substances by introducing heat, light, energy, or chemical catalysts for quantitative or qualitative analysis.19-2031 | 0.00322.0 | 0.00311.7 |
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 |
|---|---|
Write technical papers or reports or prepare standards and specifications for processes, facilities, products, or tests.O*NET Task ID 1511 | 1.0 |
Analyze organic or inorganic compounds to determine chemical or physical properties, composition, structure, relationships, or reactions, using chromatography, spectroscopy, or spectrophotometry techniques.O*NET Task ID 1505 | 0.5 |
Develop, improve, or customize products, equipment, formulas, processes, or analytical methods.O*NET Task ID 1506 | 0.5 |
Compile and analyze test information to determine process or equipment operating efficiency or to diagnose malfunctions.O*NET Task ID 1507 | 0.5 |
Confer with scientists or engineers to conduct analyses of research projects, interpret test results, or develop nonstandard tests.O*NET Task ID 1508 | 0.5 |
Direct, coordinate, or advise personnel in test procedures for analyzing components or physical properties of materials.O*NET Task ID 1509 | 0.5 |
Study effects of various methods of processing, preserving, or packaging on composition or properties of foods.O*NET Task ID 1512 | 0.5 |
Evaluate laboratory safety procedures to ensure compliance with standards or to make improvements as needed.O*NET Task ID 20388 | 0.5 |
Purchase laboratory supplies, such as chemicals, when supplies are low or near their expiration date.O*NET Task ID 20389 | 0.5 |
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