IS WORK OVER?

Automation index

How much of a Furniture restorer’s job can AI already do?

A woodworm diagnosis comes earlier. Treating without overworking the piece do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Furniture restorer

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
Diagnosis, woodworm and the proposal.
Estimate

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

16%32%+5.1
Consolidate, glue and the one that opens.
Estimate

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

22%8%+1.8
Finish, shellac and the colour.
Estimate

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

16%22%+3.5
Hardware, upholstery and what is not touched.
Estimate

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

16%28%+4.5
The owner, the memory and not leaving it too new.
Estimate

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

16%18%+2.9
Not overworking the piece, and signing the treatment.
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

  • woodworm
  • consolidate wood
  • shellac
  • hardware
  • upholstery
  • furniture diagnosis
  • glue
  • not overwork

Sources for this job· O*NET 51-7021.00· ESCO/ISCO 7522

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

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