Will AI replace Manicurists and Pedicurists?

Not as a job, but it is already doing parts of the work. Across the 18 official task statements scored for Manicurists and Pedicurists (United States, SOC 39-5092), 6% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 10 out of 100 (range 9–14, band: minimal). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.

Which tasks in “Manicurists and Pedicurists” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Maintain supply inventories and records of client services” (69/100, high); “Schedule client appointments and accept payments” (59/100, partial); “Advise clients on nail care and use of products and colors” (26/100, low). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.

Which tasks in “Manicurists and Pedicurists” stay human?

About 89% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Extend nails using powder, solvent, and paper forms attached to tips of customers' fingers to support and shape artificial nails” (0/100, minimal); “Treat nails to repair or improve strength and resilience by wrapping” (0/100, minimal); “Assess the condition of clients' hands, remove dead skin, and massage hands” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.

What should someone working in “Manicurists and Pedicurists” do about AI?

Start from the ledger rather than the headline: 6% of this job's weighted core work is exposed, and roughly 89% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.

How is the AI exposure score for Manicurists and Pedicurists calculated?

Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 18 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

US dataswitch to UK

Manicurists and Pedicurists

cleaning and sanitizing tools and work environment, removing previously applied nail polish and using rotary abrasive wheels to shape and smooth nails or artificial extensions. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: cleaning and sanitizing tools and work environment is work software can't reach.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 6%
changing shape: 5%
staying human: 89%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 10 out of 100 (9–14 allowing for uncertainty): minimal exposure, across 18 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.

How we know this

What is measured: Every published task statement for manicurists and pedicurists is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

What shifts is maintaining supply inventories and records of client services: the overhead at the edges, not the middle you trained for.

Your week, as this page understands it

Clean and shape customers' fingernails and toenails. May polish or decorate nails. The job title says “manicurists” or “pedicurists”: officially one job, two names. The real job is the part underneath: cleaning and sanitizing tools and work environment. That is the thing someone has to be right about.

The exposed part of this job is specific, and we won’t pretend it is coming back. But manicurists and pedicurists is not one task. It is 18 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is cleaning and sanitizing tools and work environment, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 6%
changing shape: 5%
staying human: 89%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

Your job, task by task

These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.

5 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Shifting to AI

1 task

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

Maintaining supply inventories and records of client services
This is reading one thing and writing another: inventories in, a record out. That is the shape today's tools are built for.
importance 5 · Core
Source: “Maintain supply inventories and records of client services.” (O*NET task statement)
How this row was scored
Exposure score: 69 out of 100 (65–73 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Stock lists and client service records are ordinary computer work, apart from physically counting what is on the shelf.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Changing shape

1 task

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

Scheduling client appointments and accept payments
The software now makes the first pass at client appointments, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Schedule client appointments and accept payments.” (O*NET task statement)
How this row was scored
Exposure score: 59 out of 100 (55–63 allowing for uncertainty): partial exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Booking software handles appointments and payments well, though taking payment in the salon still needs someone present.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

Staying human

16 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

Cleaning and sanitizing tools and work environment
This work happens in the physical world: tools, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Clean and sanitize tools and work environment.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Sanitizing tools and workstations is hands-on cleaning that has to happen physically in the salon.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Applying undercoat and clearing or colored polish onto nails with brush
This work happens in the physical world: undercoat, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Apply undercoat and clear or colored polish onto nails with brush.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Applying polish to a client’s nails is skilled handwork that has to be done in person.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Shaping and smoothing ends of nails
This work happens in the physical world: ends of nails, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Shape and smooth ends of nails, using scissors, files, or emery boards.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Shaping and smoothing nails is fine handwork done directly on the client.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Preparing customers' nails in soapy water
This work happens in the physical world: customers' nails, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Prepare customers' nails in soapy water, using swabs, files, and orange sticks.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Soaking and preparing a client’s nails is hands-on work at the salon table.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Removing previously applied nail polish
This work happens in the physical world: applied nail polish, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Remove previously applied nail polish, using liquid remover and swabs.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Removing old polish means physically working on the client’s nails with remover and swabs.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Preparing nail cuticles with water and oil, using cuticle knives to push back cuticles and scissors or nippers to trim cuticles
This work happens in the physical world: nail cuticles, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Prepare nail cuticles with water and oil, using cuticle knives to push back cuticles and scissors or nippers to trim cuticles.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Pushing back and trimming cuticles is delicate hands-on work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Assessing the condition of clients' hands
This work happens in the physical world: the condition of clients' hands, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Assess the condition of clients' hands, remove dead skin, and massage hands.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Assessing and massaging a client’s hands depends entirely on touch.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Advising clients on nail care and use of products and colors
This work happens in the physical world: clients, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Advise clients on nail care and use of products and colors.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Nail care advice is well documented, but clients expect it face to face while their hands are being worked on.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.

Show the other 8 tasks

Promoting and selling nail care products
staying human
This work happens in the physical world: nail care products, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Promote and sell nail care products.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Product knowledge is easy to generate, but selling in the salon depends on rapport with the client in the chair.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Roughening surfaces of fingernails, using abrasive wheel
staying human
This work happens in the physical world: surfaces of fingernails, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Roughen surfaces of fingernails, using abrasive wheel.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Roughening nail surfaces with an abrasive wheel is hands-on work on the client.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Polishing nails, using powdered polish and buffer
staying human
This work happens in the physical world: nails, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Polish nails, using powdered polish and buffer.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Buffing nails to a shine is manual work on the client.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Whitening underside of nails with white paste or pencils
staying human
This work happens in the physical world: underside of nails, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Whiten underside of nails with white paste or pencils.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Applying whitening paste under the nail tips is hands-on work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Decorating clients' nails by piercing or attaching ornaments or designs
staying human
This work happens in the physical world: clients' nails, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Decorate clients' nails by piercing or attaching ornaments or designs.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Attaching ornaments or piercing nails is precise handwork on a real client.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Using rotary abrasive wheels to shape and smooth nails or artificial extensions
staying human
This work happens in the physical world: rotary abrasive wheels, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Use rotary abrasive wheels to shape and smooth nails or artificial extensions.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Using an abrasive drill on nails is hands-on work on a client.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Treating nails to repair or improve strength and resilience by wrapping
staying human
This work happens in the physical world: nails, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Treat nails to repair or improve strength and resilience by wrapping.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Wrapping nails to strengthen them is hands-on work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Extending nails using powder, solvent and paper forms attached to tips of customers' fingers to support and shaping artificial nails
staying human
This work happens in the physical world: nails, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Extend nails using powder, solvent, and paper forms attached to tips of customers' fingers to support and shape artificial nails.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Building nail extensions is delicate hands-on work at the desk.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: $35,760a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
People doing this job: 152,770in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: client appointments in, a record out. The rows above are exactly that shape: maintaining supply inventories and records of client services and scheduling client appointments and accept payments. What it cannot do is be there in the room, and that is still where tools get done. Which is why this page talks about your tasks changing, not your job ending.

Your move

Over a pint: what I’d tell you if you were my friend

Start with what does not change: cleaning and sanitizing tools and work environment is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 6% of this job's task weight sits in rows the software is already learning, 5% in rows that change shape rather than disappear, and 89% in rows it is nowhere near. That is the position, measured across 18 scored tasks. It is not a forecast about you.

So the thing worth your attention is not the job going away. It is the layer around it. Maintaining supply inventories and records of client services is the part turning into software, and being the person who understands that layer is worth money.

This week: one thing

Ask the one question. Find whoever is bringing new software into your workplace (the manager, the office, whoever runs the system) and ask them what it is meant to do to client appointments, and what it is not meant to touch. Ten minutes, this week, before anyone decides it for you.

What you end up holding: a straight answer about what is actually being rolled out, and when
How long it takes: ten minutes

If there’s nobody obvious to ask, or you’d rather not ask your manager: Put the same question to your union rep, your shift lead or the person who has been there longest, in person, over a break. Same ten minutes, same answer, and you will usually get a straighter one. Write down what they say. The note is the artifact, and it tells you whether tools are in scope or not. Nothing to log into, no license needed.

Over the next 90 days

Get inside the tool rollout rather than waiting for it. Over the next ninety days, ask to be in the group that tests, checks or signs off whatever new system arrives near scheduling client appointments and accept payments. It is usually an unglamorous seat that nobody fights for, and it is the one that decides how the software is used on your job rather than to it.

Over the next 12 months

On this evidence I would not retrain out of this job, and I will say that plainly rather than hedge it. The task list here is dominated by work that stays with a person. What I would do with a year is get formally recognised for the layer around it (the systems, the compliance, the planning), so you are the one who understands the software instead of the one it is done to. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.

The roads out of here, and why I am not sending you down them

I looked at the obvious moves out of this job, and here is what I found.

I checked the 12 nearest US occupations to manicurists and pedicurists (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was hairdressers, hairstylists, and cosmetologists: only about 8% of its durable work is work you already do. And on the numbers you do not need one. This job scores 10/100 here, with only 6% of the task list in the top band, and “clean and sanitize tools and work environment” is not work that hands over cleanly. None of them beats deepening what you already have.

How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.

3 moves I checked and rejected

These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.

Hairdressers, Hairstylists, and Cosmetologists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already clean and sanitize tools and work environment, and their equivalent is to keep work stations clean and sanitize tools. Across both published task lists that is about 8% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 8% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Mental Health and Substance Abuse Social Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already maintain supply inventories and records of client services, and their equivalent is to supervise or direct other workers who provide services to clients or patients. Across both published task lists that is about 2% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 2% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Shoe and Leather Workers and Repairers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already polish nails, using powdered polish and buffer, and their equivalent is to clean and polish shoes. Across both published task lists that is about 1% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 1% of the durable side of that job. That is a different job, not a next step. And it is a narrow door: about 7,450 of those jobs against 152,770 of yours (OEWS May 2025), 5% as many seats.
Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 6% of its task weight, across 18 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The headlines about your trade disappearing
They are usually about the technology, not the timetable. Changes to work like cleaning and sanitizing tools and work environment arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.
Retraining out of a job that is holding up
On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

You are reading the United States figures

The United Kingdom splits this work across more than one official group, of which Beauticians and related occupations is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United Kingdom page →partial match

In UK official statistics this job is counted as Beauticians and related occupations. Pay and employment stay on this page’s own group; the task list and the scores do not cross over.

Your route through this

Where to go next, and what it costs

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
Free

No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for manicurists / pedicurists, and we are not going to point you at the nearest one and call it a fit.

There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 6% of the work on this page is already inside what they can do.

Try The AI Authority free →

7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.

The AI Authority is a general community about working with AI, not a course for manicurists / pedicurists. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.

Noted, and thank you. We’ll email you if a Space for manicurists / pedicurists launches. Nothing else.

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No Space for manicurists / pedicurists yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

Collab365 launches new communities where the need is real. If one for manicurists / pedicurists existed, with researched problems, courses and people in the same boat, would you want in?

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Questions people ask about this job

Will AI replace Manicurists and Pedicurists?: Not as a job, but it is already doing parts of the work. Across the 18 official task statements scored for Manicurists and Pedicurists (United States, SOC 39-5092), 6% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 10 out of 100 (range 9–14, band: minimal). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “Manicurists and Pedicurists” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Maintain supply inventories and records of client services” (69/100, high); “Schedule client appointments and accept payments” (59/100, partial); “Advise clients on nail care and use of products and colors” (26/100, low). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Manicurists and Pedicurists” stay human?: About 89% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Extend nails using powder, solvent, and paper forms attached to tips of customers' fingers to support and shape artificial nails” (0/100, minimal); “Treat nails to repair or improve strength and resilience by wrapping” (0/100, minimal); “Assess the condition of clients' hands, remove dead skin, and massage hands” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Manicurists and Pedicurists” do about AI?: Start from the ledger rather than the headline: 6% of this job's weighted core work is exposed, and roughly 89% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
How is the AI exposure score for Manicurists and Pedicurists calculated?: Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 18 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

Worth knowing about these figures

The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
5 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
Task weights: onet-db (im-rt)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-04.
Pay and employment: bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

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Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.