Automation index
How much of a Water technician’s job can AI already do?
A network test comes earlier. Potable water without bursting the main do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Water technician
22%
AI can already do 22% of this job.
#390 / 643
View rankingWater 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 |
|---|---|---|---|
Network, test and the chlorine.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Leak, locate and the shut-off.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Tank, the level and the one that runs dry.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Notice, the neighbourhood and not leaving them dry.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The inspection, the figure and not dressing chlorine.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Potable, and the main whole.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- water network
- chlorine
- leaks
- tanks
- tests
- shut-offs
- neighbourhoods
- mains
Sources for this job· O*NET 51-8031.00· ESCO/ISCO 3132
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