SAFE
The core of this job is hands on skin: cleansing, extractions, chemical peels, waxing, microdermabrasion, lash and brow work, and applying product to a specific face in a specific chair. AI can already handle the paperwork tier — intake forms, product recommendations from a photo, rebooking reminders, social content — but it cannot perform a manual extraction or judge how a client's skin is reacting mid-peel. Nearly every state requires an esthetician license to touch a client's skin, which adds a real regulatory floor, and repeat clients book a specific person, not a service.
Dipped in 2020, then grew past where it started.
Median pay $34,090 → $45,330 +6.4% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+6.7%
Percentage only. The projection counts a different population from the 72,890 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Hard to automate, and growing
The work resists current AI and the BLS projects +6.7% more of these jobs by 2034. Note that safe does not mean well paid — several of the fastest-growing resistant occupations are among the lowest paid on the register.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~14,500 openings a year on average, including replacing people who leave.
FacialistBeauticianEstheticianAestheticianElectrologistElectrolysistSpa TherapistSkin TherapistFacial OperatorBeauty TherapistImage ConsultantWaxing SpecialistBrow Waxing ExpertMaster EstheticianSkincare TherapistMedical EstheticianSkincare SpecialistClinical EstheticianLicensed EstheticianMedical AestheticianElectrolysis OperatorLicensed AestheticianSpa Technician (Spa Tech)Electrolysis Needle Operator
Holding it up: embodiment . Weakest point: judgment & accountability .
Tasks largely resist digitisation Manual extractions, waxing strips, lash isolation with tweezers, and monitoring frosting during a glycolic peel are all done by fingers on a specific person's face — the only tasks a model can take over are intake notes, product upsell suggestions, and booking, which is why this sits at 16 rather than a full 20.
Hands-on in uncontrolled environments You work in a treatment room with a client reclined under a mag lamp, steamer, wax pot, and machine handpieces, contorting over a face for 60-90 minutes and reading skin by touch and feel — an 18 reflects that the environment is at least a controlled room you set up yourself, not a client's home or a construction site.
Licensed human required and personally liable Nearly every state board requires 600-1500 hours of esthetician training and a license that can be suspended for a burn or infection, and the person holding that license is the one who applied the acid — it stops short of 15+ because scope is capped at the epidermis, with anything deeper pushed to a medical director or NP whose license absorbs the real risk.
Meaningful discretion You decide whether to skip extractions on inflamed skin, drop peel strength, or refuse service on active cold sores or recent Accutane use, but those calls run against contraindication checklists and consultation forms rather than being open-ended, which puts it at 10 and not 15.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (16/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (13/20) is whether the law requires a licensed human to sign. Trust premium (15/20) is whether buyers specifically pay for a person. Judgment and accountability (10/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 38 of this occupation's 72 points (53%).
Embodiment (18/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 87/100, still SAFE.
State boards creating or expanding a tiered 'master esthetician' / medical-esthetics license that is legally required for energy-based devices (IPL, laser hair removal, RF microneedling, deeper peels) — the pattern already in Washington, Utah, Virginia and DC, plus state rules restricting laser hair removal to licensed personnel under physician delegation. If more states adopt tiering, the licensed human becomes the mandatory signer for the highest-margin services rather than a device technician.
Task-mix shift: photo-based skin analysis, product regimen building, intake and rebooking move to software, leaving a day composed almost entirely of hands-on procedural work and mid-treatment reaction judgment. The routine tier here is thin, so the shift is real but small.
Board rules or insurer conditions making the treating esthetician the accountable party for documented contraindication screening (Accutane, actives, autoimmune conditions, Fitzpatrick-based settings) and for adverse-event reporting after burns or PIH — turning an informal judgment into an owned, auditable call.
Med-spa liability legislation of the kind pushed by the American Med Spa Association and enacted in states tightening ownership/supervision rules: a named licensed practitioner personally responsible for the pre-treatment contraindication assessment and the treatment record, with malpractice carriers requiring a signed human assessment before device use.
Continued client preference for a named provider in an intimate, touch-based, injury-capable service; a visible route upward would be salon norms or state rules requiring disclosure when an AI system, not the practitioner, generated the treatment plan, which reprices the human recommendation.
The limit. Already at 72 with embodiment near maximum; the honest ceiling is around 80. Downward pressure is the more likely movement: at-home device sales and retail AI skin diagnostics shrinking the consultation and mid-tier treatment market, and med-spa consolidation converting independent providers into device operators on protocol.
| New York-Newark-Jersey City, NY-NJ | 4,600 | $46,490 +3% |
| Los Angeles-Long Beach-Anaheim, CA | 4,500 | $37,560 -17% |
| Chicago-Naperville-Elgin, IL-IN | 2,720 | $45,330 +0% |
| San Francisco-Oakland-Fremont, CA | 1,920 | $52,350 +15% |
| Atlanta-Sandy Springs-Roswell, GA | 1,720 | $51,320 +13% |
| Houston-Pasadena-The Woodlands, TX | 1,660 | $48,250 +6% |
| Dallas-Fort Worth-Arlington, TX | 1,620 | $54,290 +20% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 1,460 | $43,570 -4% |
| Spokane-Spokane Valley, WA | 160 | $91,000 +101% |
| Olympia-Lacey-Tumwater, WA | 90 | $81,490 +80% |
| Seattle-Tacoma-Bellevue, WA | 1,330 | $80,510 +78% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 72. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.