Automation index
How much of a Zoologist’s job can AI already do?
A census comes earlier. Following the animal without disturbing it do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Zoologist
22%
AI can already do 22% of this job.
#403 / 633
View rankingZoologist
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 |
|---|---|---|---|
Census, marks and the protocol.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Field, the sign and the one that does not show.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Data, the model and not inflating.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the works and the corridor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The storm, the nest and not getting close.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Follow, and not disturbing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- censuses
- signs
- marks
- corridors
- nests
- field protocols
- population models
- works
Sources for this job· O*NET 19-1023.00· ESCO/ISCO 2131
IS WORK OVER?
Logistics analyst
28%
#79 / 633
View rankingLogistics analyst
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 |
|---|---|---|---|
Costs, OTIF and the dashboard.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Simulate network, warehouses and the what-if.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ops, dirty data and going down to the dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the board and the cut that hurts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The haulier, the contract and not breaking the service.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A real saving, and not dressing OTIF.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- logistics costs
- OTIF
- simulate network
- what-if
- dirty data
- haulage contracts
- dashboards
- network cuts
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421