IS WORK OVER?

Automation index

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

A manual comes earlier. A wardrobe that does not wobble and fits up the stairs do not.

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

Task comparison

Furniture assembler

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
Manual, fittings and the parts count.
Estimate

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

16%32%+5.1
Assemble, plumb and the wrong screw.
Estimate

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

22%8%+1.8
Up the stairs without marking the wall.
Estimate

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

16%22%+3.5
Adjust doors, drawers and the client watching.
Estimate

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

16%28%+4.5
The small flat and the piece that will not fit whole.
Estimate

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

16%18%+2.9
That it does not wobble, and not leaving a fitting out.
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

  • assemble furniture
  • fittings
  • plumb wardrobes
  • adjust doors
  • drawers
  • up the stairs
  • parts count
  • screws

Sources for this job· O*NET 51-2092.00· ESCO/ISCO 8219

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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