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.
#598 / 633
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?
Data engineer
31%
#36 / 633
View rankingData 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 pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511