Automation index
How much of a Shepherd’s job can AI already do?
GPS collars come earlier. Bringing the whole flock without leaving one on the hill do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Shepherd
18%
AI can already do 18% of this job.
#585 / 643
View rankingShepherd
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 |
|---|---|---|---|
Route, grazing and the day’s log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Flock, dogs and the wolf.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 6% | +1.4 |
Shearing, lambing and the one that stays.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Cheese, milk and dealing with the dairy.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The hill, the snow and not missing the pass.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
The whole flock, and not leaving one behind.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- run the flock
- sheepdogs
- lambing
- shearing
- the wolf
- passes
- ewe’s milk
- hill grazing
Sources for this job· O*NET 45-2093.00· ESCO/ISCO 6121
IS WORK OVER?
Statistician
26%
#206 / 643
View rankingStatistician
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, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.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
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120