Automation index

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

A costume sketch comes earlier. A costume you can act in that does not split on the third night do not.

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

Task comparison

IS WORK OVER?

22%

AI can already do 22% of this job.

#333 / 633

Costume designer

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
The reading, sketch and the palette. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Shop, fitting and the one you cannot sit in. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Rehearsal, quick change and the one that catches. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Budget, dyes and the one that is late. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Direction, the ego and not dressing against the text. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That you can act, and not splitting on the third. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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

IS WORK OVER?

26%

#211 / 633

Last-mile manager

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
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		26%

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