AI Stole My Job

Will AI replace Cooks, Institution and Cafeteria?

Estimated risk score: 30 out of 100

Lower 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 (11 to 49).

For the occupation as a whole, from ratings of its 17 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 35-2012.00 · 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: 3 of its 17 rated tasks. In O*NET’s words.

  1. Compile and maintain records of food use and expenditures.
  2. Determine meal prices, based on calculations of ingredient prices.
  3. Monitor and record food temperatures to ensure food safety.

Tasks rated in 2023 as not sped up by AI

Tasks such a model was rated as not speeding up or taking over: 11 of its 17 rated tasks; the first 6 are shown. In O*NET’s words.

  1. Apportion and serve food to facility residents, employees, or patrons.
  2. Bake breads, rolls, or other pastries.
  3. Clean and inspect galley equipment, kitchen appliances, and work areas to ensure cleanliness and functional operation.
  4. Clean, cut, and cook meat, fish, or poultry.
  5. Cook foodstuffs according to menus, special dietary or nutritional restrictions, or numbers of portions to be served.
  6. Rotate and store food supplies.

What the job is

Prepare and cook large quantities of food for institutions, such as schools, hospitals, or cafeterias.

Also called: School Cook, Dietary Cook, Cafeteria Cook, Camp Cook, Mess Cook, Ranch Cook, Galley Cook, Ship's 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