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?
Oceanographer
22%
#366 / 643
View rankingOceanographer
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, buoys and the cruise.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Sea, sampling and the one who misses the cast.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Data, the gap and not interpolating extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the coast and the one who will not hear.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The storm, the ship and aborting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Read the water, and not trusting the model alone.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
- current models
- buoys
- ocean cruises
- sampling
- interpolation
- the coast
- the storm
- casts
Sources for this job· O*NET 19-2042.00· ESCO/ISCO 2114