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?
Forklift operator
17%
#577 / 623
View rankingForklift operator
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 |
|---|---|---|---|
Notes, locations and picking routes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, lift and stack.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Loads, centres of gravity and aisles.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Shift, radio and dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Logs, incidents and counts.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Not hitting anyone or a pallet.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 17% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Notes, locations and picking routes
- Drive, lift and stack
- Loads, centres of gravity and aisles
- Shift, radio and dock
- Logs, incidents and counts
- Not hitting anyone or a pallet
- carretillero
- carretilla
- forklift
Sources for this job· O*NET 53-7051.00· ESCO/ISCO 8344