Automation index
How much of a Aquaculturist’s job can AI already do?
An oxygen reading and a ration come earlier. The batch not dying in the night do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Aquaculturist
22%
AI can already do 22% of this job.
#317 / 633
View rankingAquaculturist
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 |
|---|---|---|---|
Oxygen, ration and the mortality log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Cage, net and the escape.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Water quality, exchange and the bloom.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Vaccines, the vet and the batch that turns.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The storm, the swell and not losing the cage.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not dying in the night, and not pushing density.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
- cage oxygen
- fish ration
- nets
- water quality
- aquaculture mortality
- batch vaccines
- swell
- stocking density
Sources for this job· O*NET 45-1011.00· ESCO/ISCO 6221
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