Automation index
How much of a Wall tiler’s job can AI already do?
A joint set-out comes earlier. No ugly cut and holding the water do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Wall tiler
19%
AI can already do 19% of this job.
#476 / 633
View rankingWall tiler
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 |
|---|---|---|---|
Set-out, level and the tile format.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Adhesive, set and the tray fall.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Cut, drill and the tile that splits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Grout, seal and the bath junction.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the model change and the stock that is late.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
No ugly cut, and no leak.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
- tile walls
- set out joints
- bed tiles
- tray fall
- seal junctions
- cut tiles
- drill tile
- grout
Sources for this job· O*NET 47-2044.00· ESCO/ISCO 7122
IS WORK OVER?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.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
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514