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

Tram driver

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
Checks, log and the cab.
Estimate

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

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

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

24%8%+1.9
Badly parked car, calls and Control.
Estimate

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

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

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

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

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

14%18%+2.5
Hit nobody, and make the terminus.
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

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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