Automation index
How much of a Wind-turbine technician’s job can AI already do?
A farm SCADA comes earlier. Climbing, repairing and coming down whole do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Wind-turbine technician
19%
AI can already do 19% of this job.
#536 / 633
View rankingWind-turbine technician
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 |
|---|---|---|---|
SCADA, the code and the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Climb, the wind and the one who is sick.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Nacelle, the oil and the one that will not close.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Rescue, the protocol and not improvising.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The storm, the access and aborting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Come down whole, and the turbine running.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
- farm SCADA
- climb the tower
- nacelle
- height rescue
- oils
- fault codes
- access
- wind
Sources for this job· O*NET 49-9081.00· ESCO/ISCO 7412
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