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

QA automation 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.

TaskShareAIPoints
Test, the selector and the flake.
Estimate

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

18%48%+8.6
Pipeline, the green and the one that lies.
Estimate

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

16%40%+6.4
Bug, the repro and not closing it blind.
Estimate

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

16%22%+3.5
Data, the environment and not sharing prod.
Estimate

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

16%28%+4.5
The developer, the rush and not skipping the one that fails.
Estimate

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

18%14%+2.5
Catch the bug, and not painting a lying green.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • automated tests
  • selectors
  • flakes
  • QA pipelines
  • repro
  • environments
  • lying green
  • debug tests

Sources for this job· O*NET 15-1253.00· ESCO/ISCO 2519

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