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

Warehouse supervisor

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
Docks, waves and the shift plan.
Estimate

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

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

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

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

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

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

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

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

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

18%18%+3.2
Get the shift out, and not mixing the goods.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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