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

IS WORK OVER?

20%

AI can already do 20% of this job.

#462 / 643

Window dresser

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
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
Total	100%		20%

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

IS WORK OVER?

28%

#109 / 643

BIM modeller

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
Model, families and clash detection. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
IFC, BEP and trade coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Site, the one who will not open the model, and the meeting. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Quantities, parameters and the 4D nobody uses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The last-minute change and not breaking the federated model. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it can be built, and not over-modelling. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

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