IS WORK OVER?

Automation index

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

A current model comes earlier. Going to sea and actually reading the water do not.

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

Task comparison

Oceanographer

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
Model, buoys and the cruise.
Estimate

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

16%40%+6.4
Sea, sampling and the one who misses the cast.
Estimate

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

18%14%+2.5
Data, the gap and not interpolating extra.
Estimate

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

16%28%+4.5
Report, the coast and the one who will not hear.
Estimate

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

16%22%+3.5
The storm, the ship and aborting.
Estimate

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

18%18%+3.2
Read the water, and not trusting the model alone.
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

  • current models
  • buoys
  • ocean cruises
  • sampling
  • interpolation
  • the coast
  • the storm
  • casts

Sources for this job· O*NET 19-2042.00· ESCO/ISCO 2114

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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