IS WORK OVER?

Automation index

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

A must analysis comes earlier. Fermenting and pouring at the point do not.

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

Task comparison

Cider maker

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
Apple, mill and the must.
Estimate

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

16%40%+6.4
Press, ferment and the one that sours.
Estimate

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

18%14%+2.5
Rack, the gas and the pour point.
Estimate

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

16%28%+4.5
The cellar, this year’s cider and the bar.
Estimate

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

16%22%+3.5
The festival, the public and not tapping early.
Estimate

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

18%18%+3.2
At the point, and not selling the sour.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • mill apples
  • the press
  • ferment cider
  • pour from height
  • rack
  • the cider bar
  • must
  • barrels

Sources for this job· O*NET 51-9012.00· ESCO/ISCO 8160

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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