Automation index
How much of a Hydraulic engineer’s job can AI already do?
A floodplain model comes earlier. Sizing the channel so the village does not flood do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Hydraulic engineer
27%
AI can already do 27% of this job.
#164 / 623
View rankingHydraulic 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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142
IS WORK OVER?
Hotel manager
27%
#147 / 623
View rankingHotel manager
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 |
|---|---|---|---|
Occupancy, rates and the forecast.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Shifts, complaints and the one who leaves staff.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Owner, the budget and not cutting breakfast.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Incident, the VIP and the one who floods the room.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The inspection, insurance and not dressing the log.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That the house runs, and breakfast standing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- occupancy
- hotel forecast
- shifts
- complaints
- VIP
- breakfast
- inspection
- rates
Sources for this job· O*NET 11-9081.00· ESCO/ISCO 1411