IS WORK OVER?

Automation index

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

A count and a pH come earlier. The batch pasteurising without splitting do not.

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

Task comparison

Dairy technician

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
Count, pH and milk intake.
Estimate

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

18%48%+8.6
Pasteurise, the batch and the one that splits.
Estimate

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

16%22%+3.5
Cultures, yoghurt or cheese and the recipe.
Estimate

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

16%36%+5.8
CIP, quality and the health report.
Estimate

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

16%28%+4.5
The farmer, the tank and not mixing the sour.
Estimate

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

18%14%+2.5
That it pasteurises, and not splitting the batch.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • milk intake
  • pasteurise
  • dairy pH
  • cultures
  • CIP
  • bacterial count
  • tanks
  • yoghurt batches

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7513

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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