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

Acoustics 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
Reading, the map and the standard.
Estimate

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

18%48%+8.6
Works, the insulation and what was not put in.
Estimate

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

16%40%+6.4
Simulation, the model and not trusting it alone.
Estimate

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

16%22%+3.5
Report, the neighbour and not softening the dB.
Estimate

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

16%28%+4.5
The council, the licence and not dressing it.
Estimate

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

18%14%+2.5
Bring it down for real, and not selling the miracle panel.
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

  • noise maps
  • insulation
  • dB
  • acoustic simulations
  • standards
  • licences
  • neighbours
  • field readings

Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149

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