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

Traffic 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
Counts, the model and the microsim.
Estimate

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

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

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

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

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

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

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

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

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

18%14%+2.5
That the junction does not kill, and not painting extra.
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

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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