Automation index
How much of a Painter and decorator’s job can AI already do?
A quote and a palette come out in a minute. Masking, sanding and leaving a room without marks is the work.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Painter and decorator
17%
AI can already do 17% of this job.
#606 / 643
View rankingPainter and decorator
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 |
|---|---|---|---|
Quote, measure and pick colour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 35% | +5.6 |
Protect, mask and prep surfaces.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Paint, varnish and paper.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Repair texture, damp and cracks.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Dealing with neighbours, communities and hours.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Invoice, buy material and travel.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
| Total | 100% | 17% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Quote, measure and pick colour
- Protect, mask and prep surfaces
- Paint, varnish and paper
- Repair texture, damp and cracks
- Invoice, buy material and travel
- pintor de brocha
- painter decorator
Sources for this job· O*NET 47-2141.00· ESCO/ISCO 7131
IS WORK OVER?
Climatologist
27%
#140 / 643
View rankingClimatologist
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 |
|---|---|---|---|
Series, homogenise and the gap.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Models, scenarios and the uncertainty.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Report, the headline and not selling the easy one.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Field, the station and the one that moves.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The politician, the figure and not staying quiet.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Attribute, and not selling the headline.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- climate series
- homogenise
- scenarios
- uncertainty
- headlines
- stations
- climate reports
- attribution
Sources for this job· O*NET 19-2021.00· ESCO/ISCO 2112