IS WORK OVER?

Automation index

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

A weave comes earlier. Warping, weaving without breaking the pick do not.

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

Task comparison

Weaver

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
Warp, weave and the width.
Estimate

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

16%32%+5.1
Weave, shuttle and the yarn that snaps.
Estimate

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

22%8%+1.8
Finish, fringe and the shrink.
Estimate

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

16%22%+3.5
Loom, the rhythm and the commissioned piece.
Estimate

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

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

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

16%18%+2.9
Without breaking the pick, and a clean weave.
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

  • warp
  • weaves
  • shuttle
  • looms
  • fringe
  • the pick
  • cloth width
  • shrink

Sources for this job· O*NET 51-6062.00· ESCO/ISCO 7318

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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