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 / 623
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?
Data engineer
31%
#36 / 623
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