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

Facilities engineer

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
CMMS, tickets and the PPM.
Estimate

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

16%40%+6.4
Roof, the chiller and the one that will not start.
Estimate

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

18%14%+2.5
Generator, the diesel and not leaving it dry.
Estimate

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

16%28%+4.5
Fire, the pump and the monthly test.
Estimate

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

16%22%+3.5
The tenant, August and not jumping to a yes.
Estimate

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

18%18%+3.2
That cooling does not die, and not leaving the generator dry.
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

  • CMMS
  • PPM
  • chillers
  • generators
  • diesel
  • fire pumps
  • roofs
  • tickets

Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149

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