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?
Last-mile manager
26%
#216 / 643
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.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
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324