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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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