IS WORK OVER?

Automation index

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

A mill diagram comes earlier. Regular flour without scorching the grain do not.

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

Task comparison

Miller

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
Wheat, moisture and the diagram.
Estimate

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

16%40%+6.4
Mill, sift and the one that heats.
Estimate

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

18%14%+2.5
Quality, ash and the baker who complains.
Estimate

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

16%28%+4.5
Cleaning, pests and the silo.
Estimate

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

16%22%+3.5
The harvest, the batch and not mixing the wet.
Estimate

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

18%18%+3.2
Regular flour, and not scorching the grain.
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 wheat
  • sift
  • grain moisture
  • ash
  • silos
  • mill pests
  • mill diagrams
  • flour batches

Sources for this job· O*NET 51-9021.00· 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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