Automation index
How much of a Farrier’s job can AI already do?
A hoof card comes earlier. Shoeing the horse so it is not lame the next day do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Farrier
19%
AI can already do 19% of this job.
#509 / 643
View rankingFarrier
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 |
|---|---|---|---|
Hoof, balance and the animal’s card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Trim, nail and the one that will not stand.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Forge, the made shoe and the trim.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Lameness, the vet and not blaming the shoe.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The yard, the owner and the one who does not pay.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not lame, and not over-nailing.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- shoe horses
- balance
- trim hooves
- made shoes
- lameness
- the forge
- yards
- nail
Sources for this job· O*NET 45-2021.00· 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