IS WORK OVER?

Automation index

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

A mock-up and a part come earlier. Something that sounds and can be played does not.

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

Task comparison

Composer

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
Mock-ups, parts and a first arrangement.
Estimate

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

18%40%+7.2
Write, orchestrate and review with players.
Estimate

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

18%12%+2.2
Director, producer and opening deadlines.
Estimate

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

16%22%+3.5
Rights, publishers and versions.
Estimate

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

16%18%+2.9
Studio, libraries and delivery.
Estimate

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

16%16%+2.6
Not delivering a score that cannot be played.
Estimate

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

16%14%+2.2
Total100%21%

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

Skills and activities

  • Mock-ups, parts and a first arrangement
  • Write, orchestrate and review with players
  • Director, producer and opening deadlines
  • Rights, publishers and versions
  • Studio, libraries and delivery
  • compositor
  • composer

Sources for this job· O*NET 27-2041.00· ESCO/ISCO 2652

Warehouse supervisor

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
Docks, waves and the shift plan.
Estimate

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

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

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

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

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

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

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

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

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

18%18%+3.2
Get the shift out, and not mixing the goods.
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

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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