SAFE
The job is hands-on fine-motor work on another person's living hands and feet — shaping nails, pushing cuticles, removing calluses, applying and curing gel, sanitizing tools — none of which language models touch and none of which current robotics can do safely on a moving human. Licensing (state nail technician credential, sanitation rules) and repeat-client relationships add real protection; the automatable slice is scheduling, reminders, intake forms, and social-media marketing. The genuine threats to this occupation are cheap press-on and at-home gel products and wage competition, not AI.
Dipped in 2020, then grew past where it started.
Median pay $25,770 → $35,760 +11.0% 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
+7%
Percentage only. The projection counts a different population from the 152,770 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 +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.
~24,800 openings a year on average, including replacing people who leave.
ManicuristPedicuristNail ArtistFingernail FormerFingernail SculptorFingernail SculpturerFingernail TechnicianNail Technician (Nail Tech)Spa Nail Technician (Spa Nail Tech)Salon Nail Technician (Salon Nail Tech)Licensed Nail Technician (Licensed Nail Tech)
Holding it up: embodiment . Weakest point: judgment & accountability .
Tasks largely resist digitisation Filing a nail to a client's requested shape, pushing back a cuticle without drawing blood, judging when gel is cured enough to stop the lamp — these are tactile calibrations made in real time against a hand that flinches, and the only digitisable parts of the day are booking, deposits, and posting photos of your work, which is why this sits at 17 rather than mid-range.
Hands-on in uncontrolled environments You are physically holding a stranger's foot, working around ingrown edges, fungus, diabetic skin, and calluses at close range with drills and nippers, in a salon with acetone fumes and clients who move — a 19 reflects that there is no version of this task that happens away from the body.
Licensed human required and personally liable Every state but a handful requires an individual nail technician licence with training hours and a board exam, and sanitation violations or an infection traced to your implements land on your licence, not the salon's alone — an 11 rather than higher because the credential is a few hundred hours, not a scope-of-practice monopoly over a protected medical act.
Executes defined procedures on defined inputs The decisions are bounded — which shape, which product for a client's nail condition, when to refuse service on an infected nail and refer out — real calls, but made inside sanitation protocol and product instructions rather than in genuine ambiguity, which is what 6 marks.
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 (17/20 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 (11/20) is whether the law requires a licensed human to sign. Trust premium (14/20) is whether buyers specifically pay for a person. Judgment and accountability (6/20) 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 31 of this occupation's 67 points (46%).
Embodiment (19/20) 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 78/100, still SAFE.
Continued shift of the high-margin segment toward artistry (hand-painted nail art, structured gel extensions, bridal/editorial work) as press-ons absorb the commodity tier — buyers paying named technicians via Instagram/booking apps rather than walk-in salons. Already visible in independent booth-rental and studio pricing.
State cosmetology boards tightening infection-control enforcement to the level of medical instrument reprocessing — e.g. mandatory autoclave logs, single-use file/buffer rules, and named-licensee accountability for each service, following the pattern of post-outbreak rules in states after mycobacterial infection lawsuits. Also formal 'medical nail technician' credentialing for diabetic and oncology foot care, where a licensed human must assess and document before service.
Explicit board or insurer duty to screen and refuse/refer on visible pathology — suspected melanoma of the nail bed, diabetic neuropathy, fungal infection, ingrown nails with cellulitis — with documented referral. Some states already bar cutting on broken skin; formalizing a triage-and-refer obligation makes the call consequential and owned.
Task-mix shift is limited here: the automatable slice (booking, reminders, marketing) is already small, so automating it does not concentrate the remaining work into a higher judgment tier. Little headroom above 17.
The limit. Scores are already near the top on the capability dimensions; the realistic ceiling is roughly mid-70s. The binding threat is not AI but product substitution (press-ons, at-home gel kits) and wage competition in a low-barrier, high-turnover licensed trade — neither of which any of these levers addresses. A high displacement-resistance score here coexists with weak earnings.
| New York-Newark-Jersey City, NY-NJ | 24,390 | $34,910 -2% |
| Los Angeles-Long Beach-Anaheim, CA | 15,050 | $36,570 +2% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 7,320 | $31,200 -13% |
| Riverside-San Bernardino-Ontario, CA | 4,750 | $35,200 -2% |
| San Diego-Chula Vista-Carlsbad, CA | 4,180 | $36,670 +3% |
| San Francisco-Oakland-Fremont, CA | 4,040 | $41,600 +16% |
| Boston-Cambridge-Newton, MA-NH | 3,780 | $35,480 -1% |
| Seattle-Tacoma-Bellevue, WA | 3,610 | $50,800 +42% |
| Portland-South Portland, ME | 130 | $59,350 +66% |
| Omaha, NE-IA | 230 | $58,620 +64% |
| Seattle-Tacoma-Bellevue, WA | 3,610 | $50,800 +42% |
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 67. 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.