IS WORK OVER?

Automation index

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

A cartoon comes earlier. Setting tesserae so the image reads do not.

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

Task comparison

Mosaicist

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
Cartoon, cut and the colour.
Estimate

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

16%32%+5.1
Set, joint and the one that goes off level.
Estimate

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

22%8%+1.8
Grout, clean and the sheen.
Estimate

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

16%22%+3.5
Floor, wall and the traffic.
Estimate

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

16%28%+4.5
The client, the drawing and not changing halfway.
Estimate

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

16%18%+2.9
That it reads, and not leaving a trip.
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

  • tesserae
  • cartoon
  • grout
  • set mosaic
  • trip
  • walls
  • floors
  • cut the piece

Sources for this job· O*NET 47-2044.00· ESCO/ISCO 7112

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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