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.
#499 / 633
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?
BI analyst
34%
#18 / 633
View rankingBI analyst
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 data, light ETL and dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Write SQL, measures and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 50% | +9 |
Define KPIs with the business and negotiate meaning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present insights and defend the number.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Data quality, alerts and lineage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prioritise requests and say no.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model data, light ETL and dashboards
- Write SQL, measures and docs
- Present insights and defend the number
- Data quality, alerts and lineage
- Prioritise requests and say no
- business intelligence
- analista bi
- power bi
- looker
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511