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?
Prompt engineer
34%
#21 / 633
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512