IS WORK OVER?

Automation index

How much of a Meteorologist’s job can AI already do?

A model and a map come earlier. Saying whether a village should evacuate does not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Meteorologist

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
Models, maps and a first forecast.
Estimate

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

18%48%+8.6
Observation, sondes and satellite.
Estimate

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

16%28%+4.5
Warnings, civil protection and media.
Estimate

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

16%22%+3.5
Shift, uncertainty and not over-scaring.
Estimate

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

16%18%+2.9
Verification, archives and research.
Estimate

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

18%16%+2.9
Not sitting on a warning that saves someone.
Estimate

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

16%14%+2.2
Total100%25%

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

Skills and activities

  • Models, maps and a first forecast
  • Observation, sondes and satellite
  • Warnings, civil protection and media
  • Shift, uncertainty and not over-scaring
  • Verification, archives and research
  • meteorologo

Sources for this job· O*NET 19-2021.00· ESCO/ISCO 2112

Window 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
Measure openings, subframe and the order.
Estimate

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

16%32%+5.1
Set, plumb and the missing packer.
Estimate

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

22%8%+1.8
Foam, seal and the sweating lintel.
Estimate

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

16%22%+3.5
Fittings, adjust and the sash that rubs.
Estimate

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

16%28%+4.5
The lived-in house and not leaving the room freezing.
Estimate

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

16%18%+2.9
That it closes, and not trapping the lintel.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • measure openings
  • subframes
  • plumb windows
  • seal lintels
  • adjust sashes
  • foam
  • packers
  • window fittings

Sources for this job· O*NET 47-2121.00· ESCO/ISCO 7125

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