Automation index
How much of a Flight dispatcher’s job can AI already do?
A flight plan comes earlier. Signing the fuel without leaving the aircraft short do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Flight dispatcher
28%
AI can already do 28% of this job.
#94 / 623
View rankingFlight dispatcher
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 |
|---|---|---|---|
Plan, NOTAM, METAR and the fuel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Slot, alternates and weight.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The crew, the change and the late aircraft.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
MEL, restrictions and the go or no-go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The storm, the diversion and recalculating in time.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Not leaving it short, and signing the release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- flight plans
- NOTAM
- METAR
- fuel calc
- slots
- MEL
- alternates
- operational release
Sources for this job· O*NET 53-2022.00· ESCO/ISCO 3154
IS WORK OVER?
Hydraulic engineer
27%
#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