Garde Manger Chefs

Food Preparation & Service

AI exposure

  • Data source: BLSPublished: 2026-08

    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: 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

    0.25

    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, 77% 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

Show 12 hidden tasks

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
Analyze recipes to assign prices to menu items, based on food, labor, and overhead costs.

O*NET Task ID 11138

1.0
Record production or operational data on specified forms.

O*NET Task ID 11146

1.0
Order or requisition food or other supplies needed to ensure efficient operation.

O*NET Task ID 11131

0.5
Determine how food should be presented and create decorative food displays.

O*NET Task ID 11134

0.5
Estimate amounts and costs of required supplies, such as food and ingredients.

O*NET Task ID 11136

0.5
Collaborate with other personnel to plan and develop recipes or menus, taking into account such factors as seasonal availability of ingredients or the likely number of customers.

O*NET Task ID 11137

0.5
Determine production schedules and staff requirements necessary to ensure timely delivery of services.

O*NET Task ID 11140

0.5
Recruit and hire staff, such as cooks and other kitchen workers.

O*NET Task ID 11141

0.5
Coordinate planning, budgeting, or purchasing for all the food operations within establishments such as clubs, hotels, or restaurant chains.

O*NET Task ID 11148

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

Occupation information