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

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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