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
IS WORK OVER?
Composer
21%
AI can already do 21% of this job.
#411 / 633
View rankingComposer
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.
| Task | Share | AI | Points |
|---|---|---|---|
Mock-ups, parts and a first arrangement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 40% | +7.2 |
Write, orchestrate and review with players.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Director, producer and opening deadlines.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Rights, publishers and versions.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Studio, libraries and delivery.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not delivering a score that cannot be played.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 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
IS WORK OVER?
Last-mile manager
26%
#211 / 633
View rankingLast-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.
| Task | Share | AI | Points |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 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