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.
#381 / 633
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?
Development cooperation officer
26%
#212 / 633
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.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
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635