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

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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