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.
#489 / 633
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?
Data engineer
31%
#36 / 633
View rankingData 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 |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511