IS WORK OVER?

Automation index

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

A plan and a moodboard come earlier. A window that actually stops someone does not.

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

Task comparison

Window dresser

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
Plans, moodboards and a first digital mock-up.
Estimate

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

16%40%+6.4
Build, light and dress the window.
Estimate

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

20%12%+2.4
Brand, shop and trading calendar.
Estimate

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

16%22%+3.5
Mannequins, props and strike.
Estimate

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

16%18%+2.9
Rules, safety and street hours.
Estimate

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

16%16%+2.6
Not leaving a window nobody gets.
Estimate

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

16%14%+2.2
Total100%20%

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

Skills and activities

  • Build, light and dress the window
  • Brand, shop and trading calendar
  • Mannequins, props and strike
  • Rules, safety and street hours
  • Not leaving a window nobody gets
  • escaparatista
  • visual merchandiser
  • window dresser

Sources for this job· O*NET 27-1026.00· ESCO/ISCO 3432

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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