Musicians and Singers
Arts, Design, Entertainment & MediaAI exposure
- Data source: BLSPublished: 2026-08
Moderate· 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
0.000
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
Exposed tasks onlyValues 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 |
|---|---|
Interpret or modify music, applying knowledge of harmony, melody, rhythm, and voice production to individualize presentations and maintain audience interest.O*NET Task ID 22576 | 1.0 |
Memorize musical selections and routines, or sing following printed text, musical notation, or customer instructions.O*NET Task ID 22580 | 1.0 |
Play from memory or by following scores.O*NET Task ID 22583 | 1.0 |
Seek out and learn new music suitable for live performance or recording.O*NET Task ID 22589 | 1.0 |
Transpose music to alternate keys, or to fit individual styles or purposes.O*NET Task ID 22595 | 1.0 |
Compose songs or create vocal arrangements.O*NET Task ID 22597 | 1.0 |
Arrange and edit music to fit style and purpose.O*NET Task ID 22598 | 1.0 |
Improvise music during performances.O*NET Task ID 22599 | 1.0 |
Sing a cappella or with musical accompaniment.O*NET Task ID 22575 | 0.5 |
Teach music for specific instruments.O*NET Task ID 22586 | 0.5 |
Perform before live audiences in concerts, recitals, educational presentations, and other social gatherings.O*NET Task ID 22574 | 0.0 |
Specialize in playing a specific family of instruments or a particular type of music.O*NET Task ID 22577 | 0.0 |
Sing as a soloist or as a member of a vocal group.O*NET Task ID 22578 | 0.0 |
Observe choral leaders or prompters for cues or directions in vocal presentation.O*NET Task ID 22579 | 0.0 |
Play musical instruments as soloists, or as members or guest artists of musical groups such as orchestras, ensembles, or bands.O*NET Task ID 22581 | 0.0 |
Sight-read musical parts during rehearsals.O*NET Task ID 22582 | 0.0 |
Practice singing exercises and study with vocal coaches to develop voice and skills and to rehearse for upcoming roles.O*NET Task ID 22584 | 0.0 |
Listen to recordings to master pieces or to maintain and improve skills.O*NET Task ID 22585 | 0.0 |
Audition for orchestras, bands, or other musical groups.O*NET Task ID 22588 | 0.0 |
Learn acting, dancing, and other skills required for dramatic singing roles.O*NET Task ID 22594 | 0.0 |
Direct bands or orchestras.O*NET Task ID 22596 | 0.0 |
Practice performances, individually or in rehearsal with other musicians, to master individual pieces of music or to maintain and improve skills.O*NET Task ID 22603 | 0.0 |
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®, Eloundou et al. (2023): see full notices on the Credits page