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

Histology 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
Intake, the pot and not mixing cases.
Estimate

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

16%32%+5.1
Process, embed and the block.
Estimate

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

22%8%+1.8
Cut, the knife and the one that falls apart.
Estimate

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

16%22%+3.5
Stain, the control and the one that will not take.
Estimate

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

16%28%+4.5
The pathologist, the rush and not sending a bad cut.
Estimate

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

16%18%+2.9
Not losing the diagnosis on the knife.
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

  • paraffin blocks
  • histology cutting
  • stains
  • tissue processor
  • not mix cases
  • microtome knife
  • stain controls
  • embedding

Sources for this job· O*NET 29-2012.00· ESCO/ISCO 3212

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