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

Forest ranger

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
Logs, GIS and penalty files.
Estimate

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

16%32%+5.1
Patrol, poaching and fires.
Estimate

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

22%10%+2.2
Neighbours, shepherds and councils.
Estimate

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

16%18%+2.9
Sampling, paths and signage.
Estimate

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

16%22%+3.5
Duties, weather and terrain.
Estimate

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

16%14%+2.2
Not arriving late to a column of smoke.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Logs, GIS and penalty files
  • Patrol, poaching and fires
  • Neighbours, shepherds and councils
  • Sampling, paths and signage
  • Duties, weather and terrain
  • Not arriving late to a column of smoke
  • agente forestal
  • agente medioambiental
  • forest ranger

Sources for this job· O*NET 33-3031.00· ESCO/ISCO 5419

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