Automation index
How much of a Window installer’s job can AI already do?
A measured opening comes earlier. Closing, insulating and not trapping the lintel do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Window installer
19%
AI can already do 19% of this job.
#502 / 633
View rankingWindow installer
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 openings, subframe and the order.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Set, plumb and the missing packer.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Foam, seal and the sweating lintel.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Fittings, adjust and the sash that rubs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The lived-in house and not leaving the room freezing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
That it closes, and not trapping the lintel.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
- measure openings
- subframes
- plumb windows
- seal lintels
- adjust sashes
- foam
- packers
- window fittings
Sources for this job· O*NET 47-2121.00· ESCO/ISCO 7125
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