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?
Development cooperation officer
26%
#212 / 633
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635