IS WORK OVER?

Automation index

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

A waste code comes earlier. The waste going where it should, not the next bin, do not.

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

Task comparison

Waste 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
Code, characterise and the paper.
Estimate

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

16%40%+6.4
Plant, the mix and the one you cannot.
Estimate

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

18%14%+2.5
Move, the haulier and the note.
Estimate

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

16%28%+4.5
Inspection, the tip and not hiding.
Estimate

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

16%22%+3.5
The producer, the saving and not diluting.
Estimate

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

18%18%+3.2
Where it should, not next door.
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

  • waste codes
  • characterise waste
  • transfer notes
  • the tip
  • mixing
  • producers
  • waste papers
  • not dilute

Sources for this job· O*NET 19-4042.00· ESCO/ISCO 2143

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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