Automation index
How much of a Cobbler’s job can AI already do?
A sole quote comes earlier. Stitching, sticking and not coming off on day three do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Cobbler
19%
AI can already do 19% of this job.
#559 / 643
View rankingCobbler
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 |
|---|---|---|---|
Diagnose, sole and the quote.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Stitch, stick and the heel that goes.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Last, the fit and the one that pinches.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Colour, cream and the pair that does not match.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the dance and not cutting the vamp.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
That it does not come off, and not leaving a lame heel.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
- stitch soles
- stick heels
- lasts
- creams
- vamp
- shoe fit
- pairs
- cobbler quotes
Sources for this job· O*NET 51-6041.00· ESCO/ISCO 7536
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