Automation index
How much of a Stucco artist’s job can AI already do?
A cornice mould comes earlier. Laying stucco without it cracking do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Stucco artist
19%
AI can already do 19% of this job.
#506 / 643
View rankingStucco artist
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 |
|---|---|---|---|
Mould, mix and the set-out.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Lay, comb and the one that sags.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Moulding, the junction and the corner.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drying, crack and the touch-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The high ceiling, the scaffold and not loading extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
No crack, and a clean junction.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
- stucco
- cornices
- mouldings
- comb
- junctions
- cracks
- scaffold
- ceiling set-out
Sources for this job· O*NET 47-2161.00· ESCO/ISCO 7123
IS WORK OVER?
Epidemiologist
31%
#34 / 643
View rankingEpidemiologist
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 |
|---|---|---|---|
Surveillance, rates and the outbreak on the map.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Studies, bias and the report for public health.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Surveys, contacts and the case interview.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Committee, the unpopular measure and the press.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Field, the care-home outbreak and dirty data.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Judgement, uncertainty and signing the alert.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- watch outbreaks
- compute rates
- epi studies
- case interviews
- map epidemics
- public-health measures
- contact tracing
- health alerts
Sources for this job· O*NET 19-1041.00· ESCO/ISCO 2263