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.
#499 / 743
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?
Reliability engineer
27%
#176 / 743
View rankingReliability engineer
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 |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141