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

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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