Automation index
How much of a Embroiderer’s job can AI already do?
A pricked drawing comes earlier. Thread that tells without pulling the cloth do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Embroiderer
19%
AI can already do 19% of this job.
#490 / 643
View rankingEmbroiderer
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 |
|---|---|---|---|
Drawing, hoop and thread colour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Stitch, raised work and the one that tangles.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Machine, program and the one that eats the cloth.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Finish, the back and not leaving knots.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The garment, the deadline and not changing the drawing halfway.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
That the thread tells, and not pulling the cloth.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
- hoop
- raised work
- stitches
- threads
- the back
- machine programs
- pricked drawings
- knots
Sources for this job· O*NET 51-6051.00· ESCO/ISCO 7533
IS WORK OVER?
Prompt engineer
34%
#21 / 643
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