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

Fire investigator

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
Scene, the origin and not treading it.
Estimate

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

16%40%+6.4
Cause, the short and the rag.
Estimate

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

18%14%+2.5
Sample, the lab and the one that does not fit.
Estimate

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

16%28%+4.5
Report, the insurer and not selling it.
Estimate

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

16%22%+3.5
The judge, the hearing and not jumping to a yes.
Estimate

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

18%18%+3.2
Call the cause, and not selling it to the insurer.
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

  • fire origin
  • shorts
  • rags
  • samples
  • expert reports
  • insurers
  • the scene
  • not tread

Sources for this job· O*NET 33-2021.00· ESCO/ISCO 3119

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