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

Domestic worker

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
Lists, online shopping and written errands.
Estimate

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

14%30%+4.2
Menus and pantry organisation.
Estimate

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

12%22%+2.6
Clean, cook, iron and tidy.
Estimate

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

26%8%+2.1
Care for elders or children of the house.
Estimate

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

16%10%+1.6
Trust, keys and boundaries.
Estimate

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

16%12%+1.9
Relationship with the employing family.
Estimate

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

16%14%+2.2
Total100%15%

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

Skills and activities

  • Lists, online shopping and written errands
  • Menus and pantry organisation
  • Clean, cook, iron and tidy
  • Care for elders or children of the house
  • Trust, keys and boundaries
  • Relationship with the employing family
  • empleada de hogar
  • interno
  • domestic worker
  • trabajadora del hogar

Sources for this job· O*NET 39-9011.00· ESCO/ISCO 9111

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