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

Aid 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
Forms, logframe and the indicators.
Estimate

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

16%44%+7
The field, local partners and what the spreadsheet misses.
Estimate

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

18%14%+2.5
Donor reports and the paperwork.
Estimate

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

16%32%+5.1
Security, evacuation and the call to stay.
Estimate

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

16%22%+3.5
Community, conflict and not replacing the local.
Estimate

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

18%18%+3.2
Do no harm and owning the project.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • logframe
  • field work
  • justify projects
  • local partners
  • mission security
  • aid indicators
  • donor reports
  • do no harm

Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2635

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