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

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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