Which hairdresser tasks are most exposed to AI?

Schedule client appointments. Update and maintain customer information records, such as beauty services provided. Analyze patrons' hair and other physical features to determine and recommend beauty treatment or suggest hair styles.

Will AI replace hairdressers? What the job data shows

Q: Will AI replace hairdressers?

Our estimate puts hairdressers at medium exposure: that is how much of the listed work is information processing AI tools can do or speed up, not a forecast that the job disappears. JobRipe doesn't have enough postings yet to show a demand trend.

AI exposure (estimate)

Medium exposure

From 22 O*NET tasks

Hiring demand on JobRipe

Demand trend: not enough data yet

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from 14 employers

An estimate, not a prediction. This is an estimate of how much of this kind of work AI tools can do or speed up, built from published task lists. It is not a prediction about your job, your employer or your career: most jobs change rather than disappear, and the parts that change are often the routine ones.

What the work is made of

Information work (reading, writing, calculating, analysing)about 40%
Planning, deciding and coordinatingabout 10%
Working directly with peopleabout 10%
Hands-on physical workabout 50%

Tasks AI tools can do or speed up

Schedule client appointments.
Update and maintain customer information records, such as beauty services provided.
Analyze patrons' hair and other physical features to determine and recommend beauty treatment or suggest hair styles.
Operate cash registers to receive payments from patrons.

Tasks that rely on people or hands-on work

Keep work stations clean and sanitize tools, such as scissors and combs.
Bleach, dye, or tint hair, using applicator or brush.
Cut, trim and shape hair or hairpieces, based on customers' instructions, hair type, and facial features, using clippers, scissors, trimmers and razors.
Demonstrate and sell hair care products and cosmetics.

Tasks as published by O*NET for Hairdressers, Hairstylists, and Cosmetologists.

Skills rising and falling in hairdresser job ads

Not enough postings from the same employers in both periods to compare skills yet.

Thinking about a move?

See nearby roles, how many of their skills you already have, what they pay in job ads, and free or government-funded ways to learn the rest.

Plan a career switch See hairdresser jobs Beauty, Fitness & Wellness salaries

How we work this out

Every task O*NET lists for the occupation is put in one of four groups by its main verb and what it acts on. Information work counts fully towards exposure, planning and deciding half, working directly with people a fifth, and hands-on physical work not at all. Tasks are weighted by how important O*NET's survey of workers rates them. The weighted result is shown only as a band.

Information work (reading, writing, calculating, analysing)
counts fully towards exposure
Planning, deciding and coordinating
counts half towards exposure
Working directly with people
counts a fifth towards exposure
Hands-on physical work
counts not at all towards exposure

Bands: Lower exposure, Medium exposure from 40 in 100 weighted task points, Higher exposure from 65 in 100 weighted task points. Supplemental tasks count 70% of a core task.

Demand: new postings JobRipe first saw from 2026-07-25 to 2026-10-23 compared with the 90 days before (2026-04-26 onwards), only from employers JobRipe was already tracking before 2026-04-26, so adding employers never looks like growth. A trend needs at least 20 earlier postings from 5+ employers; a change of 15% or more is “growing” or “shrinking”. A rising or falling skill needs 10+ postings and a 5-point move.

Sources

O*NET 30.3 Database (task statements, task importance ratings, occupation data), U.S. Department of Labor, Employment and Training Administration (USDOL/ETA) · CC BY 4.0
Autor, Levy & Murnane (2003), The Skill Content of Recent Technological Change, Quarterly Journal of Economics 118(4) · used for the routine / non-routine task framework (method only, no data)
· used for the idea of rating exposure task by task from O*NET (method only, no data)