IS WORK OVER?

Automation index

How much of a Livestock farmer’s job can AI already do?

A headcount and a ration come earlier. The animal whole and the calving coming out do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Livestock farmer

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
Headcount, ration and the health log.
Estimate

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

16%36%+5.8
Yard, calving and the one that lags.
Estimate

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

22%10%+2.2
Pasture, water and the fence that comes down.
Estimate

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

16%22%+3.5
Market, abattoir and the day’s price.
Estimate

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

16%28%+4.5
The drought, the feed and not running them too thin.
Estimate

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

16%18%+2.9
The animal whole, and the calving well.
Estimate

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

14%12%+1.7
Total100%21%

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

Skills and activities

  • rations
  • calving
  • headcount
  • fences
  • pasture
  • abattoir
  • health log
  • feed

Sources for this job· O*NET 45-1011.00· 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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