Will AI replace Cooks, Restaurant?
Estimated risk score: 14 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 33).
For the occupation as a whole, from ratings of its 20 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 35-2014.00 · 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 20 rated tasks. In O*NET’s words.
- Keep records and accounts.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 16 of its 20 rated tasks; the first 6 are shown. In O*NET’s words.
- Bake breads, rolls, cakes, and pastries.
- Bake, roast, broil, and steam meats, fish, vegetables, and other foods.
- Carve and trim meats such as beef, veal, ham, pork, and lamb for hot or cold service, or for sandwiches.
- Ensure food is stored and cooked at correct temperature by regulating temperature of ovens, broilers, grills, and roasters.
- Ensure freshness of food and ingredients by checking for quality, keeping track of old and new items, and rotating stock.
- Inspect and clean food preparation areas, such as equipment, work surfaces, and serving areas, to ensure safe and sanitary food-handling practices.
What the job is
Prepare, season, and cook dishes such as soups, meats, vegetables, or desserts in restaurants. May order supplies, keep records and accounts, price items on menu, or plan menu.
Also called: Saucier, Larder Cook, Prep Person, Banquet Cook, Station Cook, Railroad Cook, Back Line Cook, Chef De Partie.
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