AI Stole My Job

Will AI replace Skincare Specialists?

Estimated risk score: 25 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 (6 to 44).

For the occupation as a whole, from ratings of its 18 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 39-5094.00 · Personal Care and Service

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: 2 of its 18 rated tasks. In O*NET’s words.

  1. Keep records of client needs and preferences and the services provided.
  2. Stay abreast of latest industry trends, products, research, and treatments.

Tasks rated in 2023 as not sped up by AI

Tasks such a model was rated as not speeding up or taking over: 12 of its 18 rated tasks; the first 6 are shown. In O*NET’s words.

  1. Apply chemical peels to reduce fine lines and age spots.
  2. Cleanse clients' skin with water, creams, or lotions.
  3. Perform simple extractions to remove blackheads.
  4. Provide facial and body massages.
  5. Remove body and facial hair by applying wax.
  6. Select and apply cosmetic products, such as creams, lotions, and tonics.

What the job is

Provide skincare treatments to face and body to enhance an individual's appearance. Includes electrologists and laser hair removal specialists.

Also called: Esthetician, Aesthetician, Medical Esthetician, Spa Tech, Facialist, Skincare Tech, Spa Therapist, Facial Operator.

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