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

Tow-truck 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
Call, route and the vehicle type.
Estimate

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

16%36%+5.8
Hard shoulder, hook and traffic that will not stop.
Estimate

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

22%8%+1.8
Hydraulics, bed and the low car that scrapes.
Estimate

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

16%22%+3.5
Garage, the note and the client who argues.
Estimate

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

16%28%+4.5
Night, rain and not becoming the next crash.
Estimate

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

16%18%+2.9
Not making the crash worse, and signing the hook.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • hook vehicles
  • hard shoulder
  • the bed
  • recovery calls
  • crane hydraulics
  • recovery notes
  • traffic
  • low cars

Sources for this job· O*NET 53-3032.00· ESCO/ISCO 8332

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