Automation index
How much of a Well driller’s job can AI already do?
A progress log comes earlier. Clean water without collapsing the well do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Well driller
19%
AI can already do 19% of this job.
#534 / 633
View rankingWell driller
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 |
|---|---|---|---|
Location, permit and the progress log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drill, case and the collapse.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Mud, samples and the geological log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Yield test, pump and the water analysis.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The owner, the neighbour and the well that will not yield.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Clean water, and not leaving a blind well.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
- drill wells
- case
- yield test
- drilling mud
- geological log
- samples
- well pumps
- drilling permits
Sources for this job· O*NET 47-5023.00· ESCO/ISCO 8113
IS WORK OVER?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.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
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514