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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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