AI exposure: Musicians and Singers
Play one or more musical instruments or sing. May perform on stage, for broadcasting, or for sound or video recording.
Reading this score
computedAt 19.7% of weighted task load, Musicians and Singers sits at the 34th percentile, below the point where a job's centre of gravity has moved. 68.8% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is presence. Across this occupation's 26 tasks it averages 2.31 out of 3, the highest of the five friction dimensions. In plain terms, a person has to be the one present. This is the friction software does not erode. Where the point of the act is that a human is there, to care or to witness or to take responsibility in the room, automating the output misses what was being paid for.
The most exposed thing this job does is Research particular roles to find out more about a character, or the time and place in which a..., at 86.7%. The least is Audition for orchestras, bands, or other musical groups, at 0.0%. A gap of 86.7% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within arts, design, entertainment, sports and media occupations, this one is less exposed than the median of 38.5% across the group's 40 roles, with 36 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.
What would move this score. Of 26 tasks, 8 are currently banded exposed, 1 assisted and 17 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.38 | 0-4 |
| Embodiment | 2.23 | 0-3 |
| Presence | 2.31 | 0-3 |
| Accountability | 0.04 | 0-3 |
| Context | 1.31 | 0-3 |
| Verification cost | 0.38 | 0-3 |
Task by task
26 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Research particular roles to find out more about a character, or the time and place in which a piece is set. | 86.7% | 13.3% | 0.0% | 3.08 | exposed |
| Transpose music to alternate keys, or to fit individual styles or purposes. | 65.0% | 10.0% | 25.0% | 4.19 | exposed |
| Arrange and edit music to fit style and purpose. | 65.0% | 10.0% | 25.0% | – | exposed |
| Promote their own or their group's music by participating in media interviews and other activities. | 55.0% | 20.0% | 25.0% | 3.24 | exposed |
| Sight-read musical parts during rehearsals. | 33.3% | 16.7% | 50.0% | 4.05 | exposed |
| Listen to recordings to master pieces or to maintain and improve skills. | 33.3% | 16.7% | 50.0% | 3.92 | exposed |
| Make or participate in recordings. | 30.0% | 20.0% | 50.0% | 3.76 | exposed |
| Make or participate in recordings in music studios. | 30.0% | 20.0% | 50.0% | 3.68 | exposed |
| Collaborate with a manager or agent who handles administrative details, finds work, and negotiates contracts. | 23.3% | 26.7% | 50.0% | 3.88 | assisted |
| Perform before live audiences in concerts, recitals, educational presentations, and other social gatherings. | 13.3% | 11.7% | 75.0% | 4.89 | untouched |
| Specialize in playing a specific family of instruments or a particular type of music. | 13.3% | 11.7% | 75.0% | 4.58 | untouched |
| Play musical instruments as soloists, or as members or guest artists of musical groups such as orchestras, ensembles, or bands. | 13.3% | 11.7% | 75.0% | 4.41 | untouched |
| Provide the musical background for live shows, such as ballets, operas, musical theatre, and cabarets. | 13.3% | 11.7% | 75.0% | 4.29 | untouched |
| Play from memory or by following scores. | 13.3% | 11.7% | 75.0% | 4.27 | untouched |
| Sing as a soloist or as a member of a vocal group. | 13.3% | 11.7% | 75.0% | – | untouched |
| Interpret or modify music, applying knowledge of harmony, melody, rhythm, and voice production to individualize presentations and maintain audience interest. | 13.3% | 11.7% | 75.0% | 4.33 | untouched |
| Sing a cappella or with musical accompaniment. | 13.3% | 11.7% | 75.0% | – | untouched |
| Memorize musical selections and routines, or sing following printed text, musical notation, or customer instructions. | 13.3% | 11.7% | 75.0% | 3.93 | untouched |
| Observe choral leaders or prompters for cues or directions in vocal presentation. | 13.3% | 11.7% | 75.0% | – | untouched |
| Improvise music during performances. | 13.3% | 11.7% | 75.0% | 3.54 | untouched |
| Perform in television, radio, or movie productions. | 13.3% | 11.7% | 75.0% | 3.39 | untouched |
| Teach music for specific instruments. | 11.7% | 13.3% | 75.0% | 4.24 | untouched |
| Practice performances, individually or in rehearsal with other musicians, to master individual pieces of music or to maintain and improve skills. | 0.0% | 0.0% | 100.0% | 4.85 | untouched |
| Seek out and learn new music suitable for live performance or recording. | 0.0% | 0.0% | 100.0% | 3.93 | untouched |
| Practice singing exercises and study with vocal coaches to develop voice and skills and to rehearse for upcoming roles. | 0.0% | 0.0% | 100.0% | 4.26 | untouched |
| Audition for orchestras, bands, or other musical groups. | 0.0% | 0.0% | 100.0% | 3.42 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean. 4 task(s) lacked a usable O*NET weight and are shown but excluded from the weighting.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.