IS WORK OVER?

Automation index

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

A series comes earlier. Attributing the change without selling the easy headline do not.

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

Task comparison

Climatologist

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
Series, homogenise and the gap.
Estimate

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

18%48%+8.6
Models, scenarios and the uncertainty.
Estimate

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

16%40%+6.4
Report, the headline and not selling the easy one.
Estimate

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

16%22%+3.5
Field, the station and the one that moves.
Estimate

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

16%28%+4.5
The politician, the figure and not staying quiet.
Estimate

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

18%14%+2.5
Attribute, and not selling the headline.
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

  • climate series
  • homogenise
  • scenarios
  • uncertainty
  • headlines
  • stations
  • climate reports
  • attribution

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

Ice-cream maker

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
Base, overrun and the recipe.
Estimate

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

16%44%+7
Churn, age and the one that crystals.
Estimate

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

18%12%+2.2
List, season and the flavour that misses.
Estimate

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

16%28%+4.5
Workshop, cold and the broken chain.
Estimate

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

16%22%+3.5
Summer, the queue and not running out of vanilla.
Estimate

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

18%18%+3.2
Creamy in the mouth, and not selling ice.
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

  • churn
  • overrun
  • age bases
  • ice-cream list
  • cold chain
  • ice crystals
  • vanilla
  • ice-cream season

Sources for this job· O*NET 51-3099.00· ESCO/ISCO 7512

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