IS WORK OVER?

Automation index

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

A 3D model comes earlier. Getting the fossil out whole without breaking it do not.

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

Task comparison

Palaeontologist

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
Site, grid and the log.
Estimate

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

16%32%+5.1
Dig, consolidate and the one that breaks.
Estimate

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

22%8%+1.8
Lab, prep and the mould.
Estimate

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

16%22%+3.5
Report, the works and stopping in time.
Estimate

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

16%28%+4.5
Theft, the permit and not hiding the piece.
Estimate

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

16%18%+2.9
Get it out whole, and not breaking it.
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

  • sites
  • grids
  • consolidate fossils
  • prep
  • moulds
  • dig logs
  • permits
  • works on site

Sources for this job· O*NET 19-3091.00· ESCO/ISCO 2114

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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