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.
#420 / 633
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?
Hydraulic engineer
27%
#164 / 633
View rankingHydraulic 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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142