Automation index
How much of a Dyer’s job can AI already do?
A bath recipe comes earlier. The colour as ordered without bleeding do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Dyer
22%
AI can already do 22% of this job.
#398 / 633
View rankingDyer
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 |
|---|---|---|---|
Recipe, bath and the sample.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Dye, stir and the one that takes uneven.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Rinse, fix and the fastness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Job, the garment and the fibre they did not mention.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The client, the black and not bleeding on the shirt.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
The colour as ordered, and not bleeding.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- bath recipes
- dye garments
- fastness
- fix colour
- samples
- fibres
- rinse
- bleeding
Sources for this job· O*NET 51-6051.00· ESCO/ISCO 7533
IS WORK OVER?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514