Skincare Specialists
Personal Care and Service Occupations- O*NET-SOC code
- 39-5094.00
Provide skincare treatments to face and body to enhance an individual's appearance. Includes electrologists and laser hair removal specialists.
- Data source: BLSPublished: 2026-08
Moderate· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
- Data source: ILOPublished: 2025
0.18
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 12 hidden tasks18 rated tasks · 6 tasks with β ≥ 0.5 (33.3%)
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
- Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
- All rated tasks are in the O*NET 31.0 task list.
- Source
- OpenAI "GPTs are GPTs" exposure rubric
- Release
- gh-main-0471612
- License
- MIT License, Copyright (c) 2024 OpenAI
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task (O*NET 27.2) | βE1 + 0.5 × E2 |
|---|---|
Keep records of client needs and preferences and the services provided.O*NET Task ID 8070 | 1.0 |
Examine clients' skin, using magnifying lamps or visors when necessary, to evaluate skin condition and appearance.O*NET Task ID 8072 | 0.5 |
Determine which products or colors will improve clients' skin quality and appearance.O*NET Task ID 8077 | 0.5 |
Advise clients about colors and types of makeup and instruct them in makeup application techniques.O*NET Task ID 8082 | 0.5 |
Sell makeup to clients.O*NET Task ID 8083 | 0.5 |
Stay abreast of latest industry trends, products, research, and treatments.O*NET Task ID 20258 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page
All O*NET 31.0 task statements (18)
All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.
| Task (O*NET 31.0) | Type |
|---|---|
| Sterilize equipment and clean work areas. | Core |
| Keep records of client needs and preferences and the services provided. | Core |
| Demonstrate how to clean and care for skin properly and recommend skin-care regimens. | Core |
| Examine clients' skin, using magnifying lamps or visors when necessary, to evaluate skin condition and appearance. | Core |
| Select and apply cosmetic products, such as creams, lotions, and tonics. | Core |
| Cleanse clients' skin with water, creams, or lotions. | Core |
| Treat the facial skin to maintain and improve its appearance, using specialized techniques and products, such as peels and masks. | Core |
| Refer clients to medical personnel for treatment of serious skin problems. | Core |
| Determine which products or colors will improve clients' skin quality and appearance. | Core |
| Perform simple extractions to remove blackheads. | Core |
| Provide facial and body massages. | Core |
| Remove body and facial hair by applying wax. | Core |
| Apply chemical peels to reduce fine lines and age spots. | Core |
| Tint eyelashes and eyebrows. | Core |
| Stay abreast of latest industry trends, products, research, and treatments. | Core |
| Advise clients about colors and types of makeup and instruct them in makeup application techniques. | Supplemental |
| Sell makeup to clients. | Supplemental |
| Collaborate with plastic surgeons and dermatologists to provide patients with preoperative and postoperative skin care. | Supplemental |
0.12/ 3· Robot exposure index
Scale, basis and source
Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time
Physical tasks among this occupation's O*NET 29.3 tasks
Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.
The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.
Tier of each physical task
Robot environment tiers (E0–E3)
E0 noneDetails
Rated not doable by robots that have been deployed, sold or demonstrated, even in a purpose-built setting
E1 purpose-built robot settingsDetails
Rated doable in a setting built around the machine, such as a fenced machine cell or a bottling line
E2 structured facilitiesDetails
Rated doable in a human work facility that an institution keeps to a working standard, such as a hospital pharmacy or a container port
E3 unstructured settingsDetails
Rated doable in a setting that no institution keeps to a working standard, such as a private home or a construction site
Only tasks classified as physical are listed; other tasks have no tier in the source.
| Task (O*NET 29.3) | Robot environment tier |
|---|---|
| Sterilize equipment and clean work areas. | E0 none |
| Examine clients' skin, using magnifying lamps or visors when necessary, to evaluate skin condition and appearance. | E2 structured facilities |
| Select and apply cosmetic products, such as creams, lotions, and tonics. | E0 none |
| Cleanse clients' skin with water, creams, or lotions. | E0 none |
| Treat the facial skin to maintain and improve its appearance, using specialized techniques and products, such as peels and masks. | E0 none |
| Perform simple extractions to remove blackheads. | E0 none |
| Provide facial and body massages. | E0 none |
| Remove body and facial hair by applying wax. | E0 none |
| Apply chemical peels to reduce fine lines and age spots. | E0 none |
| Collaborate with plastic surgeons and dermatologists to provide patients with preoperative and postoperative skin care. | E0 none |
| Tint eyelashes and eyebrows. | E0 none |
Occupation information
Employment outlook (BLS)
- Employment, 2025
- 104K
- Projected employment, 2035
- 113K
- Change (2025–35)
- +8.8%
- Median annual wage, 2025
- $45,330
- Typical education needed for entry
- Postsecondary nondegree award
Korea classification links (KSCO)
Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.
| KSCO code | KSCO title | Relation | Status |
|---|---|---|---|
| 43141 | 피부 관리사 | Same scope | confirmed |
| 43149 | 그 외 피부 및 체형 관리 종사원 | This occupation is broader | confirmed |
Relation and status definitions(kr-direct v1.1)
ILO occupational description
AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.
- ISCO-08 5142Beauticians and Related Workers
The definition, tasks and examples below are the ILO's description of that unit group, not of this occupation.
Beauticians and related workers, give facial and body beauty treatments, apply cosmetics and make-up and give other kinds of treatment to individuals in order to improve their appearance.
Tasks
- (a) cleaning and applying creams, lotions and related products to face and other parts of the body;
- (b) giving facial and body massage;
- (c) applying make-up to clients of a beauty parlour or to actors and other performers;
- (d) cleaning, shaping and polishing finger- and toe-nails and treating ailments of the human foot such as corns, calluses or deformed toe-nails;
- (e) attending to clients taking baths and administering elementary massage;
- (f) using waxing, sugaring and depilation techniques to remove unwanted bodily hair;
- (g) advising clients on diet and exercise to assist in weight loss and slimming;
- (h) arranging appointments and collecting payments.
Example occupations
Bath attendant · Beautician · Make-up artist · Manicurist · Pedicurist · Slimming consultant
Sources: ILO ISCO-08 — details: Credits
ESCO occupational vocabulary
Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.
- aestheticianESCO 5142.1Same scope
Aestheticians offer skin care treatments. They apply various facial treatments according to their clients' needs and skin type, such as lotions, scrubs, peels and masks, in order to maintain the skin healthy and attractive. Aestheticians may also give neck massages and body treatments such as wraps. Aestheticians remove unwanted hair on different body parts like eyebrows, upper lip or the bikini area. They perform facial massage and apply make-up for various occasions.
- hair removal technicianESCO 5142.3This occupation is broader
Hair removal technicians provide cosmetic services to their clients by removing unwanted hair on various body parts. They can use different techniques for temporary hair removal, such as epilation and depilation techniques, or permanent hair removal methods, such as electrolysis or intense pulsed light.
Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
License: CC BY 4.0 (EU Reuse Notice)
ESCO reuse terms and the modification notice are in Credits.
France classification links (ROME)
AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.
| ROME code | ROME title (French) | Relation |
|---|---|---|
| D1208 | Esthéticien / Esthéticienne | Same scopeprovisional |
| D1237 | Socio-esthéticien / Socio-esthéticienne | This occupation is broaderprovisional |
| D1231 | Responsable espace bien-être | Related, not a matchprovisional |
Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.
ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.
(AI Changing Work link release: fr-direct v1)
Spain classification links (CNO-11)
AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.
| CNO-11 code | CNO-11 title (Spanish) | Relation |
|---|---|---|
| 5812 | Especialistas en tratamientos de estética, bienestar y afines | This occupation is narrowerprovisional |
Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.
(AI Changing Work link release: es-direct v1)
Germany classification links (KldB)
AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.
| KldB code | KldB title (German) | Relation |
|---|---|---|
| 82322 | Berufe in der Kosmetik - fachlich ausgerichtete Tätigkeiten | This occupation is narrower |
Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.
(AI Changing Work link release: de-direct v1)
Japan classification links (JSCO)
AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.
| JSCO code | JSCO title (Japanese) | Relation |
|---|---|---|
| 383 | 美容サービス従事者（美容師を除く） | This occupation is narrowerprovisional |
Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.
(AI Changing Work link release: jp-direct v1)
Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources