AI Stole My Job

Will AI replace Dietetic Technicians?

Estimated risk score: 52 out of 100

Moderate 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 (33 to 71).

For the occupation as a whole, from ratings of its 13 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 29-2051.00 · Healthcare Practitioners and Technical

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 13 rated tasks. In O*NET’s words.

  1. Develop job specifications, job descriptions, or work schedules.
  2. Provide dietitians with assistance researching food, nutrition, or food service systems.
  3. Prepare a major meal, following recipes and determining group food quantities.

Tasks rated in 2023 as not sped up by AI

Tasks such a model was rated as not speeding up or taking over: 1 of its 13 rated tasks. In O*NET’s words.

  1. Attend interdisciplinary meetings with other health care professionals to discuss patient care.

What the job is

Assist in the provision of food service and nutritional programs, under the supervision of a dietitian. May plan and produce meals based on established guidelines, teach principles of food and nutrition, or counsel individuals.

Also called: Nutrition Technician, Diet Tech (Dietetic Technician), Diet Technician Registered (DTR), DTR, Diet Tech, Diet Clerk, Dietary Tech, Diet Assistant.

Closest jobs we score by hand

In the same field (Healthcare Practitioners and Technical). Different jobs, each scored by a person.

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