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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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