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

Forklift 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
Notes, locations and picking routes.
Estimate

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

16%32%+5.1
Drive, lift and stack.
Estimate

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

24%8%+1.9
Loads, centres of gravity and aisles.
Estimate

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

16%12%+1.9
Shift, radio and dock.
Estimate

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

16%18%+2.9
Logs, incidents and counts.
Estimate

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

14%22%+3.1
Not hitting anyone or a pallet.
Estimate

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

14%14%+2
Total100%17%

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

Skills and activities

  • Notes, locations and picking routes
  • Drive, lift and stack
  • Loads, centres of gravity and aisles
  • Shift, radio and dock
  • Logs, incidents and counts
  • Not hitting anyone or a pallet
  • carretillero
  • carretilla
  • forklift

Sources for this job· O*NET 53-7051.00· ESCO/ISCO 8344

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