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

Window installer

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
Measure openings, subframe and the order.
Estimate

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

16%32%+5.1
Set, plumb and the missing packer.
Estimate

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

22%8%+1.8
Foam, seal and the sweating lintel.
Estimate

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

16%22%+3.5
Fittings, adjust and the sash that rubs.
Estimate

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

16%28%+4.5
The lived-in house and not leaving the room freezing.
Estimate

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

16%18%+2.9
That it closes, and not trapping the lintel.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • measure openings
  • subframes
  • plumb windows
  • seal lintels
  • adjust sashes
  • foam
  • packers
  • window fittings

Sources for this job· O*NET 47-2121.00· ESCO/ISCO 7125

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