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?
Prompt engineer
34%
#21 / 633
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512