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?
Epidemiologist
31%
#34 / 643
View rankingEpidemiologist
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 |
|---|---|---|---|
Surveillance, rates and the outbreak on the map.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Studies, bias and the report for public health.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Surveys, contacts and the case interview.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Committee, the unpopular measure and the press.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Field, the care-home outbreak and dirty data.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Judgement, uncertainty and signing the alert.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- watch outbreaks
- compute rates
- epi studies
- case interviews
- map epidemics
- public-health measures
- contact tracing
- health alerts
Sources for this job· O*NET 19-1041.00· ESCO/ISCO 2263