Automation index
How much of a Livestock farmer’s job can AI already do?
A headcount and a ration come earlier. The animal whole and the calving coming out do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Livestock farmer
21%
AI can already do 21% of this job.
#429 / 643
View rankingLivestock farmer
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 |
|---|---|---|---|
Headcount, ration and the health log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Yard, calving and the one that lags.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Pasture, water and the fence that comes down.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Market, abattoir and the day’s price.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The drought, the feed and not running them too thin.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
The animal whole, and the calving well.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- rations
- calving
- headcount
- fences
- pasture
- abattoir
- health log
- feed
Sources for this job· O*NET 45-1011.00· ESCO/ISCO 6121
IS WORK OVER?
Oceanographer
22%
#366 / 643
View rankingOceanographer
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 |
|---|---|---|---|
Model, buoys and the cruise.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Sea, sampling and the one who misses the cast.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Data, the gap and not interpolating extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the coast and the one who will not hear.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The storm, the ship and aborting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Read the water, and not trusting the model alone.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
- current models
- buoys
- ocean cruises
- sampling
- interpolation
- the coast
- the storm
- casts
Sources for this job· O*NET 19-2042.00· ESCO/ISCO 2114