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

Labour inspector

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
Plan visits, complaints and the firm’s history.
Estimate

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

16%40%+6.4
Site or workplace, stop unsafe work and take statements.
Estimate

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

22%12%+2.6
Minutes, orders and the penalty proposal.
Estimate

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

16%32%+5.1
Contracts, hours and the bogus self-employed.
Estimate

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

16%28%+4.5
Union, employer and what is argued in the corridor.
Estimate

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

16%18%+2.9
A penalty that holds, and not looking away.
Estimate

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

14%12%+1.7
Total100%23%

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

Skills and activities

  • visit sites
  • stop unsafe work
  • infringement minutes
  • bogus self-employment
  • check contracts
  • labour orders
  • fine firms
  • take statements

Sources for this job· O*NET 13-1041.00· ESCO/ISCO 3352

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