ISCO 5141 · O*NET 39-5012.00 · codes unverified
Hairdresser
The highest score on the site. Cutting hair on a living, moving head is a harder robotics problem than almost anything in this list.
Anchored by physical presence or by responsibility that cannot be handed over. Tools change; the job does not.
Scale, labels and thresholds are provisional. This is open question Q-02.
1 of 20 in the launch set
How the score is made
Four declared inputs, never collapsed into one number. Assistance is kept apart from outright automation, because a tool that makes you faster and a tool that replaces you are not the same event. Physical work counts as shelter only to the extent robotics cannot reach it.
The full method is written out, including what it cannot tell you.
Note on this occupation Placeholder values. This is the clearest single illustration of Moravec's paradox in the launch set, and a useful corrective to the assumption that a score tracks qualification level.
- Assisted
- 18
- Done outright
- 6
- Physical
- 92
- Robotics reach
- 10
Higher is generally good news. It means more of the work gets faster without the work going away.
This is the number most people mean when they say exposure. It is kept separate from assistance on purpose.
Protective only for as long as robotics cannot reach it. Read this one next to the robotics number, never alone.
Low reach turns physical work into shelter. High reach turns it into the main exposure.
placeholder Working Paper 140, Generative AI and Jobs 2025 index O*NET 31.0 Global Automation Atlas 2026 release data 0.1-placeholder
What changes
Tasks moving to machines, in whole or in part.
- Bookings, reminders and stock ordering.
- Consultation visualisation and colour matching.
- Marketing and client follow-up.
What stays human
Tasks that need a person, and why.
- Working on a person who moves, with results that cannot be undone.
- Reading what someone wants when they cannot describe it.
- A relationship measured in years of repeat appointments.
What's new
Work that did not exist in this job ten years ago.
- Visualising a result before committing to it.
- Product and technique churn driven by social platforms.
- Running a small business on thinner margins with better tools.
These three lists are editorial commentary, written against task-level data but not generated from it (OCC-05). Treat them as the author's reading, not as output.
Compare with another job
Pick one. You get a card with both scores, both sets of components, and a link worth sending to someone.
- Plumber 82
- Primary school teacher 79
- Electrician 79
- Aged care worker 75
- General practitioner 73
- Registered nurse 72
- Chef 69
- Fashion designer 65
- Civil engineer 59
- Product designer 55
- Software developer 44
- Graphic designer 43
- Heavy truck driver 34
- Data analyst 32
- Paralegal 31
- Accountant 28
- Copywriter 24
- Bank teller 13
- Customer service representative 12
Sources used on this page
- Working Paper 140, Generative AI and Jobs
International Labour Organization · 2025 index · Confirm
- O*NET
US Department of Labor · 31.0 · CC BY 4.0
- Global Automation Atlas
Global Automation Atlas · 2026 release · Confirm