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.
#485 / 643
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?
Development cooperation officer
26%
#217 / 643
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.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
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635