Cooks, Restaurant
Food Preparation & ServiceAI exposure
- Data source: BLSPublished: '26.08
Moderate· 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: '26.03
0.012
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: '25
0.18
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, 90% 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 16 hidden tasks| Task | Claude.aiRaw / share % |
|---|---|
Plan and price menu items.35-2014 | 0.051881.6 |
Weigh, measure, and mix ingredients according to recipes or personal judgment, using various kitchen utensils and equipment.35-2014 | 0.00629.8 |
Bake, roast, broil, and steam meats, fish, vegetables, and other foods.35-2014 | 0.00294.6 |
Ensure food is stored and cooked at correct temperature by regulating temperature of ovens, broilers, grills, and roasters.35-2014 | 0.00264.1 |
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 |
|---|---|
Keep records and accounts.O*NET Task ID 2185 | 1.0 |
Estimate expected food consumption, requisition or purchase supplies, or procure food from storage.O*NET Task ID 2178 | 0.5 |
Consult with supervisory staff to plan menus, taking into consideration factors such as costs and special event needs.O*NET Task ID 2181 | 0.5 |
Plan and price menu items.O*NET Task ID 2186 | 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
Occupation information
Recent Changes Affecting This Occupation
May 2026: Anthropic observed-exposure score: 0% (physical/in-person). Zero observed exposure. Physical/in-person work — AI deployment effectively absent.
[Source: Anthropic Economic Research (Massenkoff & McCrory, 2026)]