Automation index
How much of a Insulation installer’s job can AI already do?
A thickness calc comes earlier. No thermal bridge and a liveable house do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Insulation installer
22%
AI can already do 22% of this job.
#318 / 633
View rankingInsulation installer
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, thicknesses and the panel list.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Fit, seal and the bridge you leave.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Roof, façade and the wind on the scaffold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Barriers, vapour and condensation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
The designer, the change and late material.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
No bridge, and not crushing the insulation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- fit insulation
- thermal bridges
- vapour barrier
- thicknesses
- insulated façade
- condensation
- seal panels
- roof
Sources for this job· O*NET 47-2131.00· ESCO/ISCO 7124
IS WORK OVER?
Data architect
28%
#83 / 633
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511