Automation index
How much of a Barber’s job can AI already do?
The booking is already in an app. The fade, the straight-razor shave and the chair talk are not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Barber
12%
AI can already do 12% of this job.
#642 / 643
View rankingBarber
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 |
|---|---|---|---|
Appointments, till and product stock.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 32% | +4.5 |
Cut and style consult with the client.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Cut, fade and finish with clipper and scissors.EstimateNo public source provides a precise figure. This is our estimate. | 28% | 5% | +1.4 |
Shave, beard tidy and hot towel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 6% | +1.1 |
Cleaning, disinfection and tool care.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 10% | +1.2 |
Shop atmosphere and regulars.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 14% | +1.7 |
| Total | 100% | 12% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cut hair
- colour hair
- haircut
- barbering
- Appointments, till and product stock
- Cut and style consult with the client
- Shave, beard tidy and hot towel
- Cleaning, disinfection and tool care
- Shop atmosphere and regulars
- barber
Sources for this job· O*NET 39-5011.00· ESCO/ISCO 5141
IS WORK OVER?
Information specialist
31%
#33 / 643
View rankingInformation specialist
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 |
|---|---|---|---|
Classify, index and describe holdings.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Thesauri, metadata and the internal search.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 52% | +8.3 |
Answer queries and retrieve what nobody can find.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Records policy, retention and destruction.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 22% | +4 |
Train people who file badly and people who do not file.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
The organisation’s memory, and not losing it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 30% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- manage records
- index holdings
- classify archives
- retrieve information
- metadata
- thesauri
- retention policy
- internal search
Sources for this job· O*NET 25-4013.00· ESCO/ISCO 2622