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

IS WORK OVER?

19%

AI can already do 19% of this job.

#498 / 643

Zookeeper

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.

Task	Share	AI	Points
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
Total	100%		19%

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

IS WORK OVER?

27%

#160 / 643

Food engineer

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.

Task	Share	AI	Points
Process, balances and shelf life. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Plant, pasteurise and the batch that will not set. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
HACCP, labelling and the rules. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Reformulate, costs and the ingredient supplier. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Taste, marketing and not lying on the pack. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it tastes like food, and not shipping the bad batch. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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