IS WORK OVER?

Automation index

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

GPS collars come earlier. Bringing the whole flock without leaving one on the hill do not.

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

Task comparison

Shepherd

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
Route, grazing and the day’s log.
Estimate

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

16%28%+4.5
Flock, dogs and the wolf.
Estimate

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

24%6%+1.4
Shearing, lambing and the one that stays.
Estimate

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

16%22%+3.5
Cheese, milk and dealing with the dairy.
Estimate

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

16%28%+4.5
The hill, the snow and not missing the pass.
Estimate

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

14%18%+2.5
The whole flock, and not leaving one behind.
Estimate

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

14%10%+1.4
Total100%18%

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

Skills and activities

  • run the flock
  • sheepdogs
  • lambing
  • shearing
  • the wolf
  • passes
  • ewe’s milk
  • hill grazing

Sources for this job· O*NET 45-2093.00· ESCO/ISCO 6121

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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