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?
Prompt engineer
34%
#21 / 633
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512