IS WORK OVER?

Automation index

How much of a Plasterboard fitter’s job can AI already do?

A setting-out comes earlier. Partition plumb and not hearing the neighbour do not.

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

Task comparison

Plasterboard fitter

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
Setting-out, tracks and the board cut list.
Estimate

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

16%32%+5.1
Studs, boards and the screw to the noggin.
Estimate

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

22%8%+1.8
Insulation, joints and hearing the neighbour.
Estimate

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

16%22%+3.5
Jointing, corners and the painter behind.
Estimate

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

16%28%+4.5
Services, pipe runs and not chopping extra.
Estimate

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

16%18%+2.9
Plumb, and not leaving the joint proud.
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

  • fit plasterboard
  • set out partitions
  • tracks
  • jointing
  • acoustic insulation
  • boards
  • corners
  • service runs

Sources for this job· O*NET 47-2081.00· ESCO/ISCO 7123

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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