IS WORK OVER?

Automation index

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

A fall set-out comes earlier. Leaving a pavement that does not pond do not.

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

Task comparison

Paver

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
Set-out, levels and layer thickness.
Estimate

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

16%32%+5.1
Lay, compact and the edge that opens.
Estimate

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

22%8%+1.8
Joints, seals and the gully junction.
Estimate

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

16%22%+3.5
Plant, mix temperature and the cold day.
Estimate

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

16%28%+4.5
Traffic, the closure and not leaving a step.
Estimate

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

16%18%+2.9
No ponding, and not skimping compaction.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • lay asphalt
  • compact
  • falls
  • pavement joints
  • gullies
  • mix temperature
  • pavement levels
  • seals

Sources for this job· O*NET 47-2071.00· ESCO/ISCO 7112

Production 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
OEE, sequence and the shift plan.
Estimate

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

18%48%+8.6
Line, changeovers and the micro-stop.
Estimate

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

16%22%+3.5
Layout, times and the work standard.
Estimate

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

16%36%+5.8
Supervisors, unions and the shift that turns.
Estimate

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

16%18%+2.9
In-line quality and the batch that cannot ship.
Estimate

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

18%14%+2.5
Hit the plan, and not dressing the OEE.
Estimate

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

16%12%+1.9
Total100%25%

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

Skills and activities

  • OEE
  • sequence production
  • changeovers
  • layout
  • work standards
  • micro-stops
  • shift plan
  • in-line quality

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

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