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Hairdresser / barber
Cuts, colours and styles hair, works out with each client what they want, and often runs a small salon or barbershop. This is one of the jobs least touched by automation on present evidence. Research robots can comb and brush hair, but only on wigs and mannequins, and no record found shows a machine cutting or colouring hair for a paying client. What is changing is around the chair: apps let clients try colours on a live camera image, and salon software now answers calls and books appointments with AI. The US projects employment of barbers, hairstylists and cosmetologists to grow 7 percent to 2035, without mentioning AI.
Count how many of last week's bookings came in by phone or message and how long answering them took.
This is not a probability of losing your job. It combines how much of the role's task load is exposed to automation with how far adoption has actually gone — useful for comparing occupations on one consistent basis, and for nothing else.
Written for hairdressers, hairstylists and barbers who work on clients' hair in salons and barbershops. Beauticians, nail technicians and makeup artists do different work. The evidence is a US labour projection, two research papers on robots combing and styling hair, a research paper on live virtual hair colouring and a salon software company's announcement of an AI receptionist; it establishes what machines can and cannot yet do around hair and the salon, not how hairdressers' numbers or incomes have changed.
The evidence base holds verified records for other occupations, but not one for this one yet. Until it does, the analysis below is reasoning about task structure and known technical capability — for this job in particular it is not backed by traceable sources, and we would rather say so than cite things we have not verified. An empty section here is a gap in our coverage, not a finding about the work.
What is actually changing#
The unit of analysis is the task, not the job title. A role is not replaced — its task mix shifts.
Each tile is one task. Its size is how much of the job it is; its colour is where the task is heading. Click a tile to see what the judgement does not establish.
Research on wigs, mannequins and videos; the absence of a cutting record is not evidence that none is being built.
This judgement rests on the absence of records; colour-formulation tools exist but were not recorded here.
A research paper by a company with a stake; it does not show how often salons use try-on or whether it changes the consultation.
A vendor describing its own product; it gives no adoption figures and does not show how many salons have stopped staffing a front desk.
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A job title is a bundle of tasks bought together, and no two people hold the same bundle. Nothing is sent anywhere — it stays in this browser.
Read all 4 tasks in full — direction, reasoning and limits →
Recent changes#
United States. The statistics bureau projects employment of barbers, hairstylists and cosmetologists to grow 7 percent from 2025 to 2035, from 670,800 to 719,200, much faster than the average for all occupations, with about 80,300 openings a year; barbers grow 3 percent and hairdressers, hairstylists and cosmetologists 8 percent. It says all states require these workers to be licensed. The page does not mention artificial intelligence, automation or robots.
A named person with standing publicly predicted something, on a date, in an attributable statement. It is recorded so that who said what, and when, stays checkable — and it never moves a task's assessment, because a prediction is not an observation. Its value arrives later: the record sits on the same page as the evidence about that occupation, so anyone reading the forecast reads the record of what happened next beside it. That is the reckoning; this site publishes no verdict on whether a forecast came true.
The salon and spa booking platform says its AI concierge answers incoming calls and messages instantly, understands what clients want and guides them through booking, rescheduling, cancellations and simple questions in real time. It says the tool operates alongside the team, not instead of them, and will launch in English-speaking markets first. The vendor describing its own product; it gives no adoption figures.
A demo, benchmark or paper shows the task can be done. Updates what the technology can do — not what employers will do.
A research system for robot hair care. It says hair care remains challenging for autonomous robots because of the fine-grained structure and complex dynamics of hair. Trained with a hair physics simulator, it performed goal-directed hair styling in simulation with 42% higher success than the previous best system, and real-world experiments showed zero-shot transfer to wigs. The authors frame it as making hair care accessible to people with limited mobility. Styling on wigs, not cutting or colouring clients' hair.
A demo, benchmark or paper shows the task can be done. Updates what the technology can do — not what employers will do.
A research system for automatic hair combing by a lightweight robot, aimed at people with limited mobility, dexterity or chronic fatigue. It segments the hair, plans paths through it from user input and executes them. The authors evaluated the planned paths with 48 users and the system with 30 users watching videos of the robot combing in the physical world, and report that it effectively combs different hairstyles. Combing, not cutting or colouring.
A demo, benchmark or paper shows the task can be done. Updates what the technology can do — not what employers will do.
A research paper on live hair colour augmentation for virtual try-on in the beauty industry. A modified neural network segments hair in real time, trained on noisy crowd-sourced data, and produces fine hair mattes while running at over 30 frames a second on a tablet. The authors are affiliated with ModiFace, a company building augmented-reality try-on tools for beauty brands, which has a stake in the result. It previews colour; it does not apply it.
A demo, benchmark or paper shows the task can be done. Updates what the technology can do — not what employers will do.
What this means for you#
If you are starting out, the hands-on skills of cutting, colouring and reading a client are what the evidence shows machines are furthest from. Expect bookings and reminders to be handled by software, and some clients to arrive with a colour they tried on a phone.
Expect front-desk work to shrink as salon software answers calls and books appointments. The cut, the colour and the judgement about what suits a client stay with you.
Your options#
Four directions, each with its real constraints and one thing you can test this week. Continuing as you are is a legitimate choice — it just has to be a chosen one.
Stay behind the chair
Research robots only comb hair on wigs, and no record shows machines cutting or colouring for clients.
Income depends on keeping a client base, which software alone does not build.
Count how many of last week's bookings came in by phone or message and how long answering them took.
Hand the front desk to software and spend the time on clients
Salon software now answers calls and books appointments with AI; the time saved can go into services.
Some clients prefer to talk to a person, and the tools cost money.
Ask the booking software you use whether it offers AI call answering, what it costs, and what happens when it cannot handle a request.
Move into colour specialism or education
Colour and chemical work combine hand skill with judgement about hair and scalp, and training new hairdressers stays hands-on.
It takes further training and, in some places, licensing.
Look up the colour or education courses offered near you and what they require.
Common questions#
Not on present evidence. Research robots can comb and style hair on wigs and mannequins, but no record shows a machine cutting or colouring hair for paying clients. Software is taking bookings and front-desk work, and the US projects the occupation to grow 7 percent from 2025 to 2035.
We do not answer that with a number of years. Watch whether any machine starts cutting or colouring hair for paying clients outside a lab. That tells you more than any date.
Not in any record found. The research robots found comb or style hair, one on real hairstyles evaluated through planned paths and videos and another on wigs after training in simulation.
Yes: virtual try-on can recolour hair on a live camera image in real time. It shows a preview; how the colour actually takes on your hair still depends on the hairdresser's judgement.
What these judgements rest on#
0 of 4 task judgements on this page are backed by a verified event and 4 are platform inference, each labelled where it appears. Behind them sit 3 technology dimensions, a reconstructed trajectory since language models reached the public, and 5 verified events.
See which technologies, how it got here, and the method →
Where it sits in the official classification: skills, knowledge, related jobs →
Other roles in the same function#
A company divides its work into functions before it divides it into jobs. These sit in Core delivery (industry-specific) alongside this one — a fact about org charts, not a judgement that they are similar or that they are changing in the same direction.
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