IS WORK OVER?

Automation index

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

A census comes earlier. Following the animal without disturbing it do not.

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

Task comparison

Zoologist

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
Census, marks and the protocol.
Estimate

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

16%40%+6.4
Field, the sign and the one that does not show.
Estimate

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

18%14%+2.5
Data, the model and not inflating.
Estimate

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

16%28%+4.5
Report, the works and the corridor.
Estimate

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

16%22%+3.5
The storm, the nest and not getting close.
Estimate

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

18%18%+3.2
Follow, and not disturbing.
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

  • censuses
  • signs
  • marks
  • corridors
  • nests
  • field protocols
  • population models
  • works

Sources for this job· O*NET 19-1023.00· ESCO/ISCO 2131

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

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