IS WORK OVER?

Automation index

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

A bible and a treatment come earlier. Knowing which scene cuts, which joke lives, and what the showrunner wants do not.

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

Task comparison

Screenwriter

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
Bibles, treatments and sequence breakdowns.
Estimate

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

20%48%+9.6
Dialogue, variants and fast rewrites.
Estimate

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

20%40%+8
Writers’ room and showrunner notes.
Estimate

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

16%18%+2.9
Fit to budget, locations and cast.
Estimate

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

16%12%+1.9
Pitch, sale and studio relationship.
Estimate

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

14%15%+2.1
Decide tone, cut and what is not written.
Estimate

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

14%12%+1.7
Total100%26%

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

Skills and activities

  • Bibles, treatments and sequence breakdowns
  • Dialogue, variants and fast rewrites
  • Writers’ room and showrunner notes
  • Fit to budget, locations and cast
  • Pitch, sale and studio relationship
  • Decide tone, cut and what is not written
  • guionista
  • screenwriter
  • script

Sources for this job· O*NET 27-3043.00· ESCO/ISCO 2641

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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