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?
Prompt engineer
34%
#21 / 643
View rankingPrompt 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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512