Room Service Attendants
Food Preparation & ServiceAI exposure
- Data source: BLSPublished: 2026-08
Moderate· 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
0.28
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, 73% 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 onlyValues 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 |
|---|---|
Record amounts and types of special food items served to customers.O*NET Task ID 11161 | 1.0 |
Examine trays to ensure that they contain required items.O*NET Task ID 11151 | 0.5 |
Total checks, present them to customers, and accept payment for services.O*NET Task ID 11162 | 0.5 |
Monitor food distribution, ensuring that meals are delivered to the correct recipients and that guidelines, such as those for special diets, are followed.O*NET Task ID 11149 | 0.0 |
Clean or sterilize dishes, kitchen utensils, equipment, or facilities.O*NET Task ID 11150 | 0.0 |
Place food servings on plates or trays according to orders or instructions.O*NET Task ID 11152 | 0.0 |
Load trays with accessories, such as eating utensils, napkins, or condiments.O*NET Task ID 11153 | 0.0 |
Take food orders and relay orders to kitchens or serving counters so they can be filled.O*NET Task ID 11154 | 0.0 |
Stock service stations with items, such as ice, napkins, or straws.O*NET Task ID 11155 | 0.0 |
Remove trays and stack dishes for return to kitchen after meals are finished.O*NET Task ID 11156 | 0.0 |
Prepare food items, such as sandwiches, salads, soups, or beverages.O*NET Task ID 11157 | 0.0 |
Monitor food preparation or serving techniques to ensure that proper procedures are followed.O*NET Task ID 11158 | 0.0 |
Carry food, silverware, or linen on trays or use carts to carry trays.O*NET Task ID 11159 | 0.0 |
Determine where patients or patrons would like to eat their meals and help them get situated.O*NET Task ID 11160 | 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