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

Logistics analyst

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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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