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

Social security officer

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
File, contributions and the right.
Estimate

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

18%48%+8.6
Incapacity, the opinion and the one who cannot.
Estimate

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

16%40%+6.4
Benefit, the deadline and not leaving them unpaid.
Estimate

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

16%22%+3.5
Fraud, the visit and not hunting the poor.
Estimate

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

16%28%+4.5
The doctor, the discharge and not fighting for sport.
Estimate

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

18%14%+2.5
That the right one is paid, and not the one who should not.
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

  • pensions
  • contributions
  • incapacity
  • benefits
  • opinions
  • fraud
  • social-security deadlines
  • medical discharges

Sources for this job· O*NET 13-1141.00· ESCO/ISCO 3353

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