Cooks, Restaurant

Food Preparation & Service

AI exposure

  • Data source: BLSPublished: '26.08

    Moderate· relative

    LowFour relative bandsVery high

    Group-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

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: '26.03

    0.012

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: '25

    0.18

    0.09Range of values carried here0.70

    Group-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.

    Source dataset

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

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.

TaskβE1 + 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
Turn or stir foods to ensure even cooking.

O*NET Task ID 2169

0.0
Season and cook food according to recipes or personal judgment and experience.

O*NET Task ID 2170

0.0
Observe and test foods to determine if they have been cooked sufficiently, using methods such as tasting, smelling, or piercing them with utensils.

O*NET Task ID 2171

0.0
Weigh, measure, and mix ingredients according to recipes or personal judgment, using various kitchen utensils and equipment.

O*NET Task ID 2172

0.0
Portion, arrange, and garnish food, and serve food to waiters or patrons.

O*NET Task ID 2173

0.0
Substitute for or assist other cooks during emergencies or rush periods.

O*NET Task ID 2175

0.0
Bake, roast, broil, and steam meats, fish, vegetables, and other foods.

O*NET Task ID 2176

0.0
Wash, peel, cut, and seed fruits and vegetables to prepare them for consumption.

O*NET Task ID 2177

0.0
Carve and trim meats such as beef, veal, ham, pork, and lamb for hot or cold service, or for sandwiches.

O*NET Task ID 2179

0.0
Coordinate and supervise work of kitchen staff.

O*NET Task ID 2180

0.0
Butcher and dress animals, fowl, or shellfish, or cut and bone meat prior to cooking.

O*NET Task ID 2182

0.0
Bake breads, rolls, cakes, and pastries.

O*NET Task ID 2183

0.0
Prepare relishes and hors d'oeuvres.

O*NET Task ID 2184

0.0
Inspect and clean food preparation areas, such as equipment, work surfaces, and serving areas, to ensure safe and sanitary food-handling practices.

O*NET Task ID 18722

0.0
Ensure food is stored and cooked at correct temperature by regulating temperature of ovens, broilers, grills, and roasters.

O*NET Task ID 18723

0.0
Ensure freshness of food and ingredients by checking for quality, keeping track of old and new items, and rotating stock.

O*NET Task ID 18724

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®, 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)]