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?
Prompt engineer
34%
#21 / 633
View rankingPrompt 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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512