IS WORK OVER?

Automation index

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

A notation and a video come earlier. Making a body tell something does not.

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

Task comparison

Choreographer

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
Notation, video and a first breakdown.
Estimate

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

16%32%+5.1
Rehearse, mark and adjust bodies.
Estimate

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

22%8%+1.8
Cast, ego and injuries.
Estimate

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

16%18%+2.9
Set, light and music.
Estimate

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

16%22%+3.5
Opening, tour and revival.
Estimate

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

16%16%+2.6
Not breaking a dancer for an idea.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Notation, video and a first breakdown
  • Rehearse, mark and adjust bodies
  • Cast, ego and injuries
  • Set, light and music
  • Opening, tour and revival
  • Not breaking a dancer for an idea
  • coreografo
  • choreographer

Sources for this job· O*NET 27-2032.00· ESCO/ISCO 2653

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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