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.
#407 / 643
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?
Statistician
26%
#206 / 643
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120