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

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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