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?
Agile coach
24%
#262 / 643
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421