Automation index
How much of a Aluminium carpenter’s job can AI already do?
A cutting list comes earlier. A tight close without the glass sweating do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Aluminium carpenter
21%
AI can already do 21% of this job.
#408 / 633
View rankingAluminium carpenter
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 |
|---|---|---|---|
Measure, cutting list and the profile cut.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Assemble, squares and the frame in the opening.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Glass, beads and the one that does not seal.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Fittings, tilt-and-turn and the fine adjust.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The dirty site and not scratching the anodising.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
A tight close, and not leaving water in.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cut profiles
- assemble frames
- beads
- tilt-and-turn
- seal glass
- anodising
- squares
- measure openings
Sources for this job· O*NET 47-2211.00· ESCO/ISCO 7213
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