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

IS WORK OVER?

19%

AI can already do 19% of this job.

#552 / 643

Weaver

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.

Task	Share	AI	Points
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
Total	100%		19%

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

IS WORK OVER?

27%

#164 / 643

Materials engineer

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.

Task	Share	AI	Points
Tests, metallography and the spec. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Shop, heat treatment and the part that fails spec. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Material choice, corrosion and fatigue. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Supplier, certificates and the doubtful batch. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The field failure and the root cause. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it does not fail, and not swapping the material blind. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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