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?
Agile coach
24%
#257 / 633
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421