IS WORK OVER?

Automation index

How much of a Packaging engineer’s job can AI already do?

A 3D prototype comes earlier. Surviving transport and opening on the shelf do not.

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

Task comparison

Packaging engineer

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
Spec, 3D and the drop test.
Estimate

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

18%48%+8.6
The packing line and the one that will not fit.
Estimate

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

16%22%+3.5
Material, recyclability and unit cost.
Estimate

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

16%36%+5.8
Supplier, die and pack colour.
Estimate

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

16%28%+4.5
Marketing, legal and not lying on the pack.
Estimate

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

18%14%+2.5
That it survives the trip, and not oversizing the plastic.
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

  • design packs
  • drop test
  • packing line
  • recyclability
  • die-cut
  • unit cost
  • pack spec
  • 3D prototype

Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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