Automation index
How much of a Tailor’s job can AI already do?
A pattern comes earlier. Fitting, marking and hanging on the body do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Tailor
19%
AI can already do 19% of this job.
#542 / 643
View rankingTailor
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 |
|---|---|---|---|
Pattern, measures and the fitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Cut, tack and the shoulder that will not hang.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Fit, mark and the client who loses weight.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Buttonholes, lining and the hand finish.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The groom, the deadline and not rushing the hem.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Hang on the body, and not leaving a high shoulder.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- take measures
- patterns
- tack
- buttonholes
- tailor fittings
- linings
- hem
- shoulder
Sources for this job· O*NET 51-6052.00· ESCO/ISCO 7531
IS WORK OVER?
Tram driver
19%
#496 / 643
View rankingTram driver
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 |
|---|---|---|---|
Checks, log and the cab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, stops and the pedestrian who steps out.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Badly parked car, calls and Control.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Timetable, reliefs and rush hour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The tourist, the bike and not over-hooting.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Hit nobody, and make the terminus.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- drive trams
- urban stops
- pedestrians
- badly parked cars
- Control
- rush hour
- cab checks
- terminus
Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311