IS WORK OVER?

Automation index

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

An enclosure protocol comes earlier. Going in, feeding and not losing an animal do not.

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

Task comparison

Zookeeper

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
Protocol, ration and the enclosure log.
Estimate

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

16%32%+5.1
Go in, clean and the one that will not come off.
Estimate

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

22%8%+1.8
Enrichment, the public and not teaching badly.
Estimate

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

16%22%+3.5
Vet, the sign and calling it in time.
Estimate

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

16%28%+4.5
Escape, the protocol and not improvising.
Estimate

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

16%18%+2.9
Not losing an animal, and not skipping the lock.
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

  • enclosures
  • zoo rations
  • enrichment
  • escape protocol
  • vet log
  • lock-up
  • enclosure clean
  • the public

Sources for this job· O*NET 39-2021.00· ESCO/ISCO 5164

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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