Automation index
How much of a Hairdresser’s job can AI already do?
A moodboard and a booking assemble themselves. Cutting, colouring, and sending the client out happy is the job.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Hairdresser
14%
AI can already do 14% of this job.
#739 / 743
View rankingHairdresser
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Diary, client cards and salon social posts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Advise cut and colour from references.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Cut, style and finish in the chair.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 6% | +1.4 |
Colour, highlights and treatments.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 8% | +1.4 |
Hygiene, sterilisation and till.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
Care, retention and handling complaints.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 14% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cut hair
- colour hair
- haircut
- barbering
- Diary, client cards and salon social posts
- Advise cut and colour from references
- Cut, style and finish in the chair
- Colour, highlights and treatments
- Hygiene, sterilisation and till
- Care, retention and handling complaints
Sources for this job· O*NET 39-5012.00· ESCO/ISCO 5141
IS WORK OVER?
Reliability engineer
27%
#176 / 743
View rankingReliability engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141