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?
Last-mile manager
26%
#211 / 633
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324