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

Spanish language teacher

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
Reading, the commentary and the rubric.
Estimate

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

16%40%+6.4
Writing, the paragraph and the one who will not start.
Estimate

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

18%14%+2.5
Speaking, the fear and getting them to talk.
Estimate

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

16%28%+4.5
Spelling, the mark-up and not humiliating.
Estimate

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

16%22%+3.5
Plagiarism, the web and not looking away.
Estimate

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

18%18%+3.2
That they write with sense, and not copying.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • text commentary
  • writing
  • speaking
  • spelling
  • language rubrics
  • plagiarism
  • paragraphs
  • reading

Sources for this job· O*NET 25-2031.00· ESCO/ISCO 2330

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