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.
#514 / 633
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?
Logistics analyst
28%
#79 / 633
View rankingLogistics analyst
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 |
|---|---|---|---|
Costs, OTIF and the dashboard.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Simulate network, warehouses and the what-if.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ops, dirty data and going down to the dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the board and the cut that hurts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The haulier, the contract and not breaking the service.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A real saving, and not dressing OTIF.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- logistics costs
- OTIF
- simulate network
- what-if
- dirty data
- haulage contracts
- dashboards
- network cuts
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421