Food Scientists
Life, Physical & Social SciencesAI exposure
- Data source: BLSPublished: 2026-08
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
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.40
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, 39% 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 4 hidden tasksValues 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 |
|---|---|
Test new products for flavor, texture, color, nutritional content, and adherence to government and industry standards.O*NET Task ID 7485 | 0.5 |
Check raw ingredients for maturity or stability for processing, and finished products for safety, quality, and nutritional value.O*NET Task ID 7486 | 0.5 |
Confer with process engineers, plant operators, flavor experts, and packaging and marketing specialists to resolve problems in product development.O*NET Task ID 7487 | 0.5 |
Evaluate food processing and storage operations and assist in the development of quality assurance programs for such operations.O*NET Task ID 7488 | 0.5 |
Develop new or improved ways of preserving, processing, packaging, storing, and delivering foods, using knowledge of chemistry, microbiology, and other sciences.O*NET Task ID 7491 | 0.5 |
Develop food standards and production specifications, safety and sanitary regulations, and waste management and water supply specifications.O*NET Task ID 7492 | 0.5 |
Seek substitutes for harmful or undesirable additives, such as nitrites.O*NET Task ID 7495 | 0.5 |
Develop new food items for production, based on consumer feedback.O*NET Task ID 18611 | 0.5 |
Stay up to date on new regulations and current events regarding food science by reviewing scientific literature.O*NET Task ID 18612 | 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®, Eloundou et al. (2023): see full notices on the Credits page