IS WORK OVER?

Automation index

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

A layout and an order come earlier. The first row coming out square does not.

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

Task comparison

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
Layout, levels and ordering tile.
Estimate

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

16%30%+4.8
Cut, set and grout.
Estimate

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

24%8%+1.9
Substrates, falls and awkward points.
Estimate

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

16%12%+1.9
Site, client and not staining the house.
Estimate

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

16%18%+2.9
Quantities, extras and logs.
Estimate

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

14%22%+3.1
Not leaving a floor that sounds hollow.
Estimate

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

14%14%+2
Total100%17%

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

Skills and activities

  • build walls
  • plaster
  • site work
  • Layout, levels and ordering tile
  • Cut, set and grout
  • Substrates, falls and awkward points
  • Site, client and not staining the house
  • Quantities, extras and logs
  • Not leaving a floor that sounds hollow
  • solador

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

Analyse my job

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