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

Food technologist

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
Recipe, process and shelf life.
Estimate

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

16%40%+6.4
Plant, the batch and the one that will not set.
Estimate

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

18%14%+2.5
HACCP, labelling and not lying.
Estimate

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

16%28%+4.5
Taste, marketing and not disguising.
Estimate

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

16%22%+3.5
The supplier, the ingredient and not swapping blind.
Estimate

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

18%18%+3.2
Safe, and tasting like food.
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

  • industrial recipes
  • shelf life
  • HACCP
  • labelling
  • taste
  • plant batches
  • ingredients
  • food process

Sources for this job· O*NET 19-1012.00· ESCO/ISCO 2145

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