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?
Colourist
27%
#141 / 633
View rankingColourist
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 |
|---|---|---|---|
Look, stills and the reference.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Session, nodes and the hard shot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Skin, sky and not eating the set.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Delivery, HDR and the one that misses in the theatre.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The director, the ego and not loading the orange.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Skin holds, and the look does not lie.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
- looks
- nodes
- skin
- HDR
- stills
- the colour bay
- hard shots
- look references
Sources for this job· O*NET 27-4032.00· ESCO/ISCO 3521