IS WORK OVER?

Automation index

How much of a Storyboard artist’s job can AI already do?

A script comes earlier. A shot you can actually shoot, and that reads, do not.

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

Task comparison

Storyboard artist

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
Script, shots and the rhythm.
Estimate

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

18%48%+8.6
Draw, arrows and the one that does not read.
Estimate

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

16%40%+6.4
Review, the director and the scene change.
Estimate

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

16%22%+3.5
Delivery, numbering and the missing one.
Estimate

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

16%28%+4.5
The budget, the impossible and not drawing a shoot that will not fit.
Estimate

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

18%14%+2.5
That it can be shot, and that it reads.
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

  • shots
  • camera arrows
  • rhythm
  • shooting script
  • numbering
  • review with direction
  • scenes
  • board delivery

Sources for this job· O*NET 27-1014.00· ESCO/ISCO 2166

Last-mile manager

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
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
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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