IS WORK OVER?

Automation index

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

A dye recipe comes earlier. Getting the colour the same over ten thousand metres do not.

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

Task comparison

Textile engineer

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
Recipes, weaves and piece QC.
Estimate

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

18%48%+8.6
Shop, looms and the warp break.
Estimate

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

16%22%+3.5
Supplier, cotton and the sustainability card.
Estimate

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

16%36%+5.8
Finishes, shrinkage and fastness tests.
Estimate

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

16%28%+4.5
The brand, the deadline and the colour that misses.
Estimate

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

18%14%+2.5
Ten thousand metres the same, and not hiding the bad yardage.
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

  • dye recipes
  • weaves
  • looms
  • colour fastness
  • shrinkage
  • piece card
  • warp
  • textile finishes

Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2141

Prompt engineer

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
Design prompts, tools and chains.
Estimate

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

24%58%+13.9
Evals, datasets and regressions.
Estimate

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

18%52%+9.4
Integrate with product and safety limits.
Estimate

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

16%22%+3.5
Talk to the business about a good output.
Estimate

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

16%18%+2.9
Watch hallucinations, bias and cost.
Estimate

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

14%20%+2.8
Decide what the model gets, and what it does not.
Estimate

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

12%16%+1.9
Total100%34%

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

Skills and activities

  • Design prompts, tools and chains
  • Evals, datasets and regressions
  • Integrate with product and safety limits
  • Talk to the business about a good output
  • Watch hallucinations, bias and cost
  • prompt engineer
  • ingeniero de prompts
  • llm engineer

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512

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