Music Arrangers and Orchestrators
Arts, Design, Entertainment & MediaAI exposure
- Data source: BLSPublished: 2026-08
High· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.037
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.28
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 73% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 21 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Perform administrative tasks such as applying for grants, developing budgets, negotiating contracts, and designing and printing programs and other promotional materials.27-2041 | 0.046039.7 | 0.00668.2 |
Write changes directly into compositions, or use computer software to make changes.27-2041 | 0.015012.9 | 0.073591.8 |
Write music for commercial mediums, including advertising jingles or film soundtracks.27-2041 | 0.00726.2 | —0 |
Study films or scripts to determine how musical scores can be used to create desired effects or moods.27-2041 | 0.00685.9 | —0 |
Confer with producers and directors to define the nature and placement of film or television music.27-2041 | 0.00524.5 | —0 |
Arrange music composed by others, changing the music to achieve desired effects.27-2041 | 0.00494.2 | —0 |
Apply elements of music theory to create musical and tonal structures, including harmonies and melodies.27-2041 | 0.00423.6 | —0 |
Write musical scores for orchestras, bands, choral groups, or individual instrumentalists or vocalists, using knowledge of music theory and of instrumental and vocal capabilities.27-2041 | 0.00353.0 | —0 |
Rewrite original musical scores in different musical styles by changing rhythms, harmonies, or tempos.27-2041 | 0.00353.0 | —0 |
Consider such factors as ensemble size and abilities, availability of scores, and the need for musical variety, to select music to be performed.27-2041 | 0.00312.7 | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Study scores to learn the music in detail, and to develop interpretations.O*NET Task ID 22546 | 1.0 |
Apply elements of music theory to create musical and tonal structures, including harmonies and melodies.O*NET Task ID 22547 | 1.0 |
Determine voices, instruments, harmonic structures, rhythms, tempos, and tone balances required to achieve the effects desired in a musical composition.O*NET Task ID 22549 | 1.0 |
Transcribe ideas for musical compositions into musical notation, using instruments, pen and paper, or computers.O*NET Task ID 22551 | 1.0 |
Write musical scores for orchestras, bands, choral groups, or individual instrumentalists or vocalists, using knowledge of music theory and of instrumental and vocal capabilities.O*NET Task ID 22554 | 1.0 |
Fill in details of orchestral sketches, such as adding vocal parts to scores.O*NET Task ID 22559 | 1.0 |
Explore and develop musical ideas based on sources such as imagination or sounds in the environment.O*NET Task ID 22560 | 1.0 |
Write music for commercial mediums, including advertising jingles or film soundtracks.O*NET Task ID 22561 | 1.0 |
Transpose music from one voice or instrument to another to accommodate particular musicians.O*NET Task ID 22562 | 1.0 |
Rewrite original musical scores in different musical styles by changing rhythms, harmonies, or tempos.O*NET Task ID 22563 | 1.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page