IS WORK OVER?

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

Hydrologist

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.

TaskShareAIPoints
Hydrograph, catchment and the model.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Field, gauging and the one that does not read.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Flood, the alert and not delaying.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Low flow, irrigation and the clash.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The authority, the figure and not dressing the flow.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
If the river rises, call it.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Last-mile 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.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
KPIs, first attempt and incidents.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%26%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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