Automation index
How much of a Piling operator’s job can AI already do?
A pile plan comes earlier. Driving to level without cracking the neighbour do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Piling operator
19%
AI can already do 19% of this job.
#521 / 633
View rankingPiling operator
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 |
|---|---|---|---|
Set-out, level and each pile’s log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, bore and refusal.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Cage, pour and the tube that rides up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Vibration, the neighbour and stopping in time.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Plant, access and the one that will not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
To level, and not cracking party walls.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- drive piles
- bore
- cages
- refusal level
- site vibration
- pour piles
- piling set-out
- recoverable tubes
Sources for this job· O*NET 47-2073.00· ESCO/ISCO 7114
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