Will AI replace Cooks, Fast Food?
Estimated risk score: 12 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 31).
For the occupation as a whole, from ratings of its 19 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 35-2011.00 · 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 19 rated tasks. In O*NET’s words.
- Take food and drink orders and receive payment from customers.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 18 of its 19 rated tasks; the first 6 are shown. In O*NET’s words.
- Clean food preparation areas, cooking surfaces, and utensils.
- Clean, stock, and restock workstations and display cases.
- Cook and package batches of food, such as hamburgers or fried chicken, prepared to order or kept warm until sold.
- Cook the exact number of items ordered by each customer, working on several different orders simultaneously.
- Maintain sanitation, health, and safety standards in work areas.
- Measure ingredients required for specific food items.
What the job is
Prepare and cook food in a fast food restaurant with a limited menu. Duties of these cooks are limited to preparation of a few basic items and normally involve operating large-volume single-purpose cooking equipment.
Also called: Pizza Baker, Fast Food Cook, Food Service Cook, Fryline Attendant, Truck Team Member, Fast Food Fry Cook, Pancake Professional, Restaurant Line Cook.
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