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

Job insertion technician

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
Employer prospecting and the agreements.
Estimate

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

16%40%+6.4
Go with them to the job and the first day.
Estimate

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

18%18%+3.2
Follow-up, incidents and the one who quits.
Estimate

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

16%32%+5.1
Reports, indicators and justifying the grant.
Estimate

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

16%28%+4.5
The hard candidate and the employer who pulls out.
Estimate

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

18%14%+2.5
That they stay, and not dressing the figure.
Estimate

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

16%12%+1.9
Total100%24%

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

Skills and activities

  • prospect employers
  • place candidates
  • follow up in post
  • insertion agreements
  • justify grants
  • job accompaniment
  • workplace incidents
  • insertion indicators

Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2423

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