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

Tram driver

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
Checks, log and the cab.
Estimate

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

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

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

24%8%+1.9
Badly parked car, calls and Control.
Estimate

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

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

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

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

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

14%18%+2.5
Hit nobody, and make the terminus.
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

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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