IS WORK OVER?

Automation index

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

A moodboard and a size file come earlier. The hang of a cloth, and a show, do not.

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

Task comparison

Fashion designer

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
Moodboards, tech packs and sizes.
Estimate

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

20%48%+9.6
Research trends and cost.
Estimate

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

16%35%+5.6
Pattern, prototype and fit on a body.
Estimate

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

18%12%+2.2
Choose cloth, mill and real colour.
Estimate

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

16%15%+2.4
Collection, lookbook and atelier relationship.
Estimate

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

16%12%+1.9
Brand taste and what does not ship.
Estimate

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

14%14%+2
Total100%24%

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

Skills and activities

  • design interfaces
  • prototypes
  • figma
  • Moodboards, tech packs and sizes
  • Research trends and cost
  • Pattern, prototype and fit on a body
  • Choose cloth, mill and real colour
  • Brand taste and what does not ship
  • diseñador de moda
  • fashion designer

Sources for this job· O*NET 27-1022.00· ESCO/ISCO 2163

Logistics analyst

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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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