Automation index
How much of a Glazier’s job can AI already do?
A measure and an order come earlier. Lifting a pane and not breaking it do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Glazier
17%
AI can already do 17% of this job.
#599 / 643
View rankingGlazier
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, order glass and ironmongery.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 30% | +4.8 |
Cut, set and seal.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Heights, suckers and not breaking the pane.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Site, client and protection.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Logs, quantities and extras.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Not leaving glass that whistles or leaks.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 17% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Measure, order glass and ironmongery
- Cut, set and seal
- Heights, suckers and not breaking the pane
- Site, client and protection
- Logs, quantities and extras
- Not leaving glass that whistles or leaks
- cristalero
- glazier
- vidriero
Sources for this job· O*NET 47-2121.00· ESCO/ISCO 7115
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