Will AI replace Dining Room and Cafeteria Attendants and Bartender Helpers?
Estimated risk score: 11 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (0 to 30).
For the occupation as a whole, from ratings of its 24 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 35-9011.00 · Food Preparation and Serving Related
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 1 of its 24 rated tasks. In O*NET’s words.
- Run cash registers.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 23 of its 24 rated tasks; the first 6 are shown. In O*NET’s words.
- Carry food, dishes, trays, or silverware from kitchens or supply departments to serving counters.
- Carry trays from food counters to tables for cafeteria patrons.
- Clean and polish counters, shelves, walls, furniture, or equipment in food service areas or other areas of restaurants and mop or vacuum floors.
- Clean up spilled food or drink or broken dishes and remove empty bottles and trash.
- Fill beverage or ice dispensers.
- Locate items requested by customers.
What the job is
Facilitate food service. Clean tables; remove dirty dishes; replace soiled table linens; set tables; replenish supply of clean linens, silverware, glassware, and dishes; supply service bar with food; and serve items such as water, condiments, and coffee to patrons.
Also called: Barback, Bus Boy, Busboy, Bar Back, Cafe Helper, Tray Setter, Kitchen Aide, Food Expeditor.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate