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

Social security officer

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
File, contributions and the right.
Estimate

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

18%48%+8.6
Incapacity, the opinion and the one who cannot.
Estimate

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

16%40%+6.4
Benefit, the deadline and not leaving them unpaid.
Estimate

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

16%22%+3.5
Fraud, the visit and not hunting the poor.
Estimate

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

16%28%+4.5
The doctor, the discharge and not fighting for sport.
Estimate

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

18%14%+2.5
That the right one is paid, and not the one who should not.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • pensions
  • contributions
  • incapacity
  • benefits
  • opinions
  • fraud
  • social-security deadlines
  • medical discharges

Sources for this job· O*NET 13-1141.00· ESCO/ISCO 3353

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