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

Warehouse supervisor

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
Docks, waves and the shift plan.
Estimate

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

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

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

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

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

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

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

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

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

18%18%+3.2
Get the shift out, and not mixing the goods.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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