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?
Zookeeper
19%
AI can already do 19% of this job.
#498 / 643
View rankingZookeeper
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.
| Task | Share | AI | Points |
|---|---|---|---|
Protocol, ration and the enclosure log.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Enrichment, the public and not teaching badly.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Vet, the sign and calling it in time.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Escape, the protocol and not improvising.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not losing an animal, and not skipping the lock.EstimateNo 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
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
IS WORK OVER?
Hydraulic engineer
27%
#166 / 643
View rankingHydraulic 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.
| Task | Share | AI | Points |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.EstimateNo 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
Skills and activities
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142