Automation index
How much of a Boilermaker’s job can AI already do?
A drawing and a plate cut come earlier. Marking out, welding and holding pressure do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Boilermaker
25%
AI can already do 25% of this job.
#216 / 623
View rankingBoilermaker
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 |
|---|---|---|---|
Read drawings, parts lists and material lists.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Mark out, cut, roll and assemble plate.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Weld, fit and erect in shop or on site.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 22% | +4 |
Leak, pressure and finishing tests.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Repair boilers, tanks and ducts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Thickness, codes and liability for the weld.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- mark out plate
- weld boilers
- roll plate
- assemble tanks
- pressure tests
- erect on site
- read boilermaker drawings
- repair ducts
Sources for this job· O*NET 47-2011.00· ESCO/ISCO 7213
IS WORK OVER?
Data architect
28%
#83 / 623
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