Automation index
How much of a Tiler’s job can AI already do?
A layout and an order come earlier. The first row coming out square does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Tiler
17%
AI can already do 17% of this job.
#608 / 643
View rankingTiler
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 |
|---|---|---|---|
Layout, levels and ordering tile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 30% | +4.8 |
Cut, set and grout.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Substrates, falls and awkward points.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Site, client and not staining the house.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Quantities, extras and logs.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Not leaving a floor that sounds hollow.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 17% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build walls
- plaster
- site work
- Layout, levels and ordering tile
- Cut, set and grout
- Substrates, falls and awkward points
- Site, client and not staining the house
- Quantities, extras and logs
- Not leaving a floor that sounds hollow
- solador
Sources for this job· O*NET 47-2044.00· ESCO/ISCO 7122
IS WORK OVER?
Prompt engineer
34%
#21 / 643
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