IS WORK OVER?

Automation index

How much of a Recycling-plant operator’s job can AI already do?

An optical sorter comes earlier. Actually sorting without mixing the bale do not.

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

Task comparison

Recycling-plant operator

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
Line, optical and the bale.
Estimate

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

16%32%+5.1
Cabin, the one that sneaks in and the glass.
Estimate

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

22%8%+1.8
Jam, the belt and stopping.
Estimate

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

16%22%+3.5
Quality, the reject and not hiding it.
Estimate

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

16%28%+4.5
The peak, the lorry and not mixing.
Estimate

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

16%18%+2.9
Sort for real, and a clean bale.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • recycling line
  • bales
  • sort cabin
  • belts
  • rejects
  • glass
  • optical sorters
  • jams

Sources for this job· O*NET 51-9199.00· ESCO/ISCO 3132

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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