Automation index
How much of a Hydrologist’s job can AI already do?
A hydrograph comes earlier. Calling the rise without leaving the village blind do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Hydrologist
22%
AI can already do 22% of this job.
#339 / 633
View rankingHydrologist
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 |
|---|---|---|---|
Hydrograph, catchment and the model.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Field, gauging and the one that does not read.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Flood, the alert and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Low flow, irrigation and the clash.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The authority, the figure and not dressing the flow.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
If the river rises, call it.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
- hydrographs
- catchments
- gauging
- floods
- low flow
- hydrology alerts
- flows
- the river authority
Sources for this job· O*NET 19-2043.00· ESCO/ISCO 2114
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