Dishwashers

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

    0.13

    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, 97% 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

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
Wash dishes, glassware, flatware, pots, or pans, using dishwashers or by hand.

O*NET Task ID 11186

0.0
Place clean dishes, utensils, or cooking equipment in storage areas.

O*NET Task ID 11187

0.0
Maintain kitchen work areas, equipment, or utensils in clean and orderly condition.

O*NET Task ID 11188

0.0
Stock supplies, such as food or utensils, in serving stations, cupboards, refrigerators, or salad bars.

O*NET Task ID 11189

0.0
Sweep or scrub floors.

O*NET Task ID 11190

0.0
Clean garbage cans with water or steam.

O*NET Task ID 11191

0.0
Sort and remove trash, placing it in designated pickup areas.

O*NET Task ID 11192

0.0
Clean or prepare various foods for cooking or serving.

O*NET Task ID 11193

0.0
Set up banquet tables.

O*NET Task ID 11194

0.0
Transfer supplies or equipment between storage and work areas, by hand or using hand trucks.

O*NET Task ID 11195

0.0
Receive and store supplies.

O*NET Task ID 11196

0.0
Prepare and package individual place settings.

O*NET Task ID 11197

0.0
Load or unload trucks that deliver or pick up food or supplies.

O*NET Task ID 11198

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