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.
#544 / 643
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?
Statistician
26%
#206 / 643
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120