Will AI replace Skincare Specialists?
AI reaches little of this job’s work.
8/100
Low exposure
More exposed to AI than 16% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 13% of the work
What the job involves
Provide skincare treatments to face and body to enhance an individual's appearance. Includes electrologists and laser hair removal specialists.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(3)
- Keep records of client needs and preferences and the services provided.
- Collaborate with plastic surgeons and dermatologists to provide patients with preoperative and postoperative skin care.
- Advise clients about colors and types of makeup and instruct them in makeup application techniques.
Out of reach(15)
- Sterilize equipment and clean work areas.
- Cleanse clients' skin with water, creams, or lotions.
- Demonstrate how to clean and care for skin properly and recommend skin-care regimens.
- Examine clients' skin, using magnifying lamps or visors when necessary, to evaluate skin condition and appearance.
- Treat the facial skin to maintain and improve its appearance, using specialized techniques and products, such as peels and masks.
and 10 more
Also called
Esthetician · Medical Esthetician · Skincare Therapist · Aesthetician · Facialist · Skincare Specialist · Beauty Therapist · Facial Operator
Related jobs
- Hairdressers, Hairstylists, and Cosmetologists6/100
- Massage Therapists19/100
- Shampooers10/100
- Dermatologists33/100
- Surgical Technologists2/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics