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

QA automation engineer

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
Test, the selector and the flake.
Estimate

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

18%48%+8.6
Pipeline, the green and the one that lies.
Estimate

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

16%40%+6.4
Bug, the repro and not closing it blind.
Estimate

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

16%22%+3.5
Data, the environment and not sharing prod.
Estimate

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

16%28%+4.5
The developer, the rush and not skipping the one that fails.
Estimate

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

18%14%+2.5
Catch the bug, and not painting a lying green.
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

  • automated tests
  • selectors
  • flakes
  • QA pipelines
  • repro
  • environments
  • lying green
  • debug tests

Sources for this job· O*NET 15-1253.00· ESCO/ISCO 2519

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