Automation index
How much of a Plasterboard fitter’s job can AI already do?
A setting-out comes earlier. Partition plumb and not hearing the neighbour do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Plasterboard fitter
19%
AI can already do 19% of this job.
#524 / 643
View rankingPlasterboard fitter
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 |
|---|---|---|---|
Setting-out, tracks and the board cut list.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Studs, boards and the screw to the noggin.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Insulation, joints and hearing the neighbour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Jointing, corners and the painter behind.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Services, pipe runs and not chopping extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Plumb, and not leaving the joint proud.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
- fit plasterboard
- set out partitions
- tracks
- jointing
- acoustic insulation
- boards
- corners
- service runs
Sources for this job· O*NET 47-2081.00· ESCO/ISCO 7123
IS WORK OVER?
Statistician
26%
#206 / 643
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120