Cafeteria Cooks

Food Preparation & Service

AI exposure

  • Data source: BLSPublished: 2026-08

    Low· 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: 2026-03

    0.000

    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: 2025

    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
Compile and maintain records of food use and expenditures.

O*NET Task ID 9492

1.0
Monitor menus and spending to ensure that meals are prepared economically.

O*NET Task ID 9497

0.5
Plan menus that are varied, nutritionally balanced, and appetizing, taking advantage of foods in season and local availability.

O*NET Task ID 9498

0.5
Requisition food supplies, kitchen equipment, and appliances, based on estimates of future needs.

O*NET Task ID 9499

0.5
Determine meal prices, based on calculations of ingredient prices.

O*NET Task ID 9500

0.5
Clean and inspect galley equipment, kitchen appliances, and work areas to ensure cleanliness and functional operation.

O*NET Task ID 9486

0.0
Apportion and serve food to facility residents, employees, or patrons.

O*NET Task ID 9487

0.0
Cook foodstuffs according to menus, special dietary or nutritional restrictions, or numbers of portions to be served.

O*NET Task ID 9488

0.0
Clean, cut, and cook meat, fish, or poultry.

O*NET Task ID 9489

0.0
Monitor use of government food commodities to ensure that proper procedures are followed.

O*NET Task ID 9490

0.0
Wash pots, pans, dishes, utensils, or other cooking equipment.

O*NET Task ID 9491

0.0
Direct activities of one or more workers who assist in preparing and serving meals.

O*NET Task ID 9493

0.0
Bake breads, rolls, or other pastries.

O*NET Task ID 9494

0.0
Train new employees.

O*NET Task ID 9495

0.0
Take inventory of supplies and equipment.

O*NET Task ID 9496

0.0
Monitor and record food temperatures to ensure food safety.

O*NET Task ID 21148

0.0
Rotate and store food supplies.

O*NET Task ID 21149

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