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

Data architect

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, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

Analyse my job

Jobs with similar scores

  1. 521Piling operator19%
  2. 522Recycling-plant operator19%
  3. 523Organ builder19%
  4. 525Yacht skipper19%
  5. 526Paver19%
  6. 527Pet groomer19%