IS WORK OVER?

Automation index

How much of a Wall tiler’s job can AI already do?

A joint set-out comes earlier. No ugly cut and holding the water do not.

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

Task comparison

Wall tiler

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
Set-out, level and the tile format.
Estimate

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

16%32%+5.1
Adhesive, set and the tray fall.
Estimate

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

22%8%+1.8
Cut, drill and the tile that splits.
Estimate

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

16%22%+3.5
Grout, seal and the bath junction.
Estimate

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

16%28%+4.5
The client, the model change and the stock that is late.
Estimate

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

16%18%+2.9
No ugly cut, and no leak.
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

  • tile walls
  • set out joints
  • bed tiles
  • tray fall
  • seal junctions
  • cut tiles
  • drill tile
  • grout

Sources for this job· O*NET 47-2044.00· ESCO/ISCO 7122

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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