Short Order Cooks
Food Preparation & ServiceAI exposure
- Data source: BLSPublished: 2026-08
Low· 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: 2026-03
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
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
Exposed tasks only| Task | Claude.aiRaw / share % |
|---|---|
Grill, cook, and fry foods such as french fries, eggs, and pancakes.35-2015 | 0.004735.9 |
Plan work on orders so that items served together are finished at the same time.35-2015 | 0.004534.4 |
Take orders from customers and cook foods requiring short preparation times, according to customer requirements.35-2015 | 0.003929.8 |
| Not observed on any surface — 8 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Clean food preparation equipment, work areas, and counters or tables. | —0 |
Grill and garnish hamburgers or other meats, such as steaks and chops. | —0 |
Complete orders from steam tables, placing food on plates and serving customers at tables or counters. | —0 |
Restock kitchen supplies, rotate food, and stamp the time and date on food in coolers. | —0 |
Perform food preparation tasks, such as making sandwiches, carving meats, making soups or salads, baking breads or desserts, and brewing coffee or tea. | —0 |
Perform general cleaning activities in kitchen and dining areas. | —0 |
Order supplies and stock them on shelves. | —0 |
Accept payments, and make change or write charge slips as necessary. | —0 |
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 |
|---|---|
Clean food preparation equipment, work areas, and counters or tables.O*NET Task ID 2187 | 0.0 |
Plan work on orders so that items served together are finished at the same time.O*NET Task ID 2188 | 0.0 |
Grill, cook, and fry foods such as french fries, eggs, and pancakes.O*NET Task ID 2189 | 0.0 |
Take orders from customers and cook foods requiring short preparation times, according to customer requirements.O*NET Task ID 2190 | 0.0 |
Grill and garnish hamburgers or other meats, such as steaks and chops.O*NET Task ID 2191 | 0.0 |
Complete orders from steam tables, placing food on plates and serving customers at tables or counters.O*NET Task ID 2192 | 0.0 |
Order supplies and stock them on shelves.O*NET Task ID 2194 | 0.0 |
Accept payments, and make change or write charge slips as necessary.O*NET Task ID 2195 | 0.0 |
Restock kitchen supplies, rotate food, and stamp the time and date on food in coolers.O*NET Task ID 18725 | 0.0 |
Perform food preparation tasks, such as making sandwiches, carving meats, making soups or salads, baking breads or desserts, and brewing coffee or tea.O*NET Task ID 18726 | 0.0 |
Perform general cleaning activities in kitchen and dining areas.O*NET Task ID 18727 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page