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?
Data engineer
31%
#36 / 633
View rankingData 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 pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511