IS WORK OVER?

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

Farrier

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.

TaskShareAIPoints
Hoof, balance and the animal’s card.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Trim, nail and the one that will not stand.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Forge, the made shoe and the trim.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Lameness, the vet and not blaming the shoe.
Estimate

No 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.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Not lame, and not over-nailing.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%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

Last-mile manager

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.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
KPIs, first attempt and incidents.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%26%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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