Automation index
How much of a Mason’s job can AI already do?
Measuring and ordering materials can move earlier. Raising a plumb wall, in the rain, next to a journeyman, cannot.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Mason
15%
AI can already do 15% of this job.
#627 / 643
View rankingMason
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 |
|---|---|---|---|
Read drawings, measure and order material.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 30% | +4.8 |
Setting out and levels on site.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Raise walls, render and plaster.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Floors, tiling and finishing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Safety, scaffolding and clearing the bay.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 10% | +1.6 |
Coordinate with foreman, plumber and electrician.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
| Total | 100% | 15% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build walls
- plaster
- site work
- Read drawings, measure and order material
- Setting out and levels on site
- Raise walls, render and plaster
- Floors, tiling and finishing
- Safety, scaffolding and clearing the bay
- albanil
- mason
Sources for this job· O*NET 47-2021.00· ESCO/ISCO 7112
IS WORK OVER?
Logistics analyst
28%
#79 / 643
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