Automation index
How much of a Gilder’s job can AI already do?
A bole comes earlier. Laying gold leaf without seeing the join do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Gilder
19%
AI can already do 19% of this job.
#492 / 633
View rankingGilder
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 |
|---|---|---|---|
Prep, bole and the ground.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Lay, gold leaf and the join.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Burnish, matte and the one that lifts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Frame, altarpiece and the client who touches.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The humidity, the shop and not laying in a rush.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
No visible join, and not eating the gold.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
- bole
- gold leaf
- burnish
- joins
- frames
- altarpieces
- matte
- gilding ground
Sources for this job· O*NET 51-9123.00· ESCO/ISCO 7316
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