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?
Tram driver
19%
#487 / 633
View rankingTram driver
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 |
|---|---|---|---|
Checks, log and the cab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, stops and the pedestrian who steps out.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Badly parked car, calls and Control.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Timetable, reliefs and rush hour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The tourist, the bike and not over-hooting.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Hit nobody, and make the terminus.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
- drive trams
- urban stops
- pedestrians
- badly parked cars
- Control
- rush hour
- cab checks
- terminus
Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311