Automation index
How much of a Plasterer’s job can AI already do?
A measure and an order come earlier. A wall that is true and does not crack does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Plasterer
16%
AI can already do 16% of this job.
#616 / 633
View rankingPlasterer
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 |
|---|---|---|---|
Measure, order material and set out.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Lay on, float and reinforce corners.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Scaffolds, heights and protection.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Site, tradesman and job deadlines.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Logs, quantities and extras.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Not leaving a ceiling that falls.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 16% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build walls
- plaster
- site work
- Measure, order material and set out
- Lay on, float and reinforce corners
- Scaffolds, heights and protection
- Site, tradesman and job deadlines
- Logs, quantities and extras
- Not leaving a ceiling that falls
- yesero
Sources for this job· O*NET 47-2161.00· ESCO/ISCO 7123
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