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.
#473 / 713
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?
Instructional designer
27%
#158 / 713
View rankingInstructional designer
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 |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.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
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351