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

Prompt 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
Design prompts, tools and chains.
Estimate

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

24%58%+13.9
Evals, datasets and regressions.
Estimate

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

18%52%+9.4
Integrate with product and safety limits.
Estimate

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

16%22%+3.5
Talk to the business about a good output.
Estimate

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

16%18%+2.9
Watch hallucinations, bias and cost.
Estimate

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

14%20%+2.8
Decide what the model gets, and what it does not.
Estimate

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

12%16%+1.9
Total100%34%

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

Skills and activities

  • Design prompts, tools and chains
  • Evals, datasets and regressions
  • Integrate with product and safety limits
  • Talk to the business about a good output
  • Watch hallucinations, bias and cost
  • prompt engineer
  • ingeniero de prompts
  • llm engineer

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512

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