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

Requirements engineer

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
Workshop, the actor and the requirement.
Estimate

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

18%48%+8.6
Conflict, the loudest and not swallowing it.
Estimate

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

16%40%+6.4
Criterion, the test and not leaving it vague.
Estimate

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

16%22%+3.5
Change, the impact and not hiding it.
Estimate

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

16%28%+4.5
The project lead, the deadline and not cutting the one that matters.
Estimate

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

18%14%+2.5
That it is needed, and not the loudest one's.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • requirements
  • actor workshops
  • acceptance criteria
  • change impact
  • backlog
  • tests
  • not swallow the loudest
  • ambiguity

Sources for this job· O*NET 15-1299.00· ESCO/ISCO 2511

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