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?
Data engineer
31%
#36 / 633
View rankingData 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 pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511