Automation index
How much of a Vehicle painter’s job can AI already do?
A colour formula comes earlier. A metallic that does not show does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Vehicle painter
18%
AI can already do 18% of this job.
#586 / 643
View rankingVehicle painter
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 |
|---|---|---|---|
Formulas, codes and paint orders.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Mask, spray and bake.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Sand, polish and match the gloss.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Booth, filters and waste.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Shop, deadlines and the panel beater.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Not leaving a patch you can see from ten metres.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Formulas, codes and paint orders
- Mask, spray and bake
- Sand, polish and match the gloss
- Booth, filters and waste
- Shop, deadlines and the panel beater
- pintor de coches
- vehicle painter
Sources for this job· O*NET 51-9124.00· ESCO/ISCO 7132
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