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

Traffic engineer

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
Counts, the model and the microsim.
Estimate

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

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

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

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

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

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

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

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

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

18%14%+2.5
That the junction does not kill, and not painting extra.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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