IS WORK OVER?

Automation index

How much of a Printing press operator’s job can AI already do?

A preflight and a colour profile come earlier. Calibrating the press and not wasting the run do not.

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

Task comparison

Printing press 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
Preflight, imposition and colour profiles.
Estimate

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

16%48%+7.7
Calibrate, ink and start the press.
Estimate

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

18%18%+3.2
Watch register, density and defects on the run.
Estimate

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

18%22%+4
Job change, plates and wash-up.
Estimate

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

16%32%+5.1
Finishing, guillotine and delivery.
Estimate

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

16%28%+4.5
Stock, times and liability for the run.
Estimate

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

16%14%+2.2
Total100%27%

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

Skills and activities

  • run offset
  • calibrate colour
  • preflight files
  • watch register
  • ink the press
  • avoid wasting the run
  • imposition
  • change plates

Sources for this job· O*NET 51-5112.00· ESCO/ISCO 7322

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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