IS WORK OVER?

Automation index

How much of a Aluminium carpenter’s job can AI already do?

A cutting list comes earlier. A tight close without the glass sweating do not.

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

Task comparison

Aluminium carpenter

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
Measure, cutting list and the profile cut.
Estimate

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

16%36%+5.8
Assemble, squares and the frame in the opening.
Estimate

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

18%12%+2.2
Glass, beads and the one that does not seal.
Estimate

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

16%22%+3.5
Fittings, tilt-and-turn and the fine adjust.
Estimate

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

16%28%+4.5
The dirty site and not scratching the anodising.
Estimate

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

18%18%+3.2
A tight close, and not leaving water in.
Estimate

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

16%12%+1.9
Total100%21%

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

Skills and activities

  • cut profiles
  • assemble frames
  • beads
  • tilt-and-turn
  • seal glass
  • anodising
  • squares
  • measure openings

Sources for this job· O*NET 47-2211.00· ESCO/ISCO 7213

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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