IS WORK OVER?

Automation index

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

A self-tape and a script breakdown come earlier. Hitting a mark on a set, and actually crying, do not.

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

Task comparison

Actor

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
Break down the text, mark and memorise.
Estimate

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

16%32%+5.1
Self-tapes and casting materials.
Estimate

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

16%28%+4.5
Perform on set, stage or in voice-over.
Estimate

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

22%6%+1.3
Rehearse with director and cast.
Estimate

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

16%10%+1.6
Care for body, voice and emotional continuity.
Estimate

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

16%12%+1.9
Promotion, agents and life between jobs.
Estimate

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

14%18%+2.5
Total100%17%

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

Skills and activities

  • Break down the text, mark and memorise
  • Self-tapes and casting materials
  • Perform on set, stage or in voice-over
  • Rehearse with director and cast
  • Promotion, agents and life between jobs
  • actor
  • actriz
  • actor de cine
  • actor de teatro

Sources for this job· O*NET 27-2011.00· ESCO/ISCO 2655

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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