Automation index
How much of a Musician’s job can AI already do?
A backing track and a score generate. Playing live, tuning to a room, and lasting a concert do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Musician
21%
AI can already do 21% of this job.
#429 / 633
View rankingMusician
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 |
|---|---|---|---|
Compose, arrange and produce demos.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 42% | +7.6 |
Scores, desk rehearsal and setlists.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 30% | +4.8 |
Play in concert, session or pit.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Rehearse with the band and lock the live show.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Contracts, touring and promotion.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
Lessons, commissions and keeping the instrument.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Compose, arrange and produce demos
- Scores, desk rehearsal and setlists
- Play in concert, session or pit
- Contracts, touring and promotion
- musico
- musician
- instrumentista
- concertista
Sources for this job· O*NET 27-2042.00· ESCO/ISCO 2652
IS WORK OVER?
Actuary
32%
#25 / 633
View rankingActuary
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 |
|---|---|---|---|
Run models, reserves and sensitivities.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 55% | +13.2 |
Draft technical reports and memos.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Choose assumptions, tables and criteria.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Explain to the board and the supervisor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Validate data quality and bias.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Signed opinion and professional liability.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 18% | +2.2 |
| Total | 100% | 32% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Run models, reserves and sensitivities
- Draft technical reports and memos
- Choose assumptions, tables and criteria
- Explain to the board and the supervisor
- Validate data quality and bias
- Signed opinion and professional liability
- actuario
- actuary
Sources for this job· O*NET 15-2011.00· ESCO/ISCO 2120