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# Will AI replace musicians?

Updated October 2026

Musicians score 22 of 100 for AI exposure. 60% of their task time still needs a person. AI can do 2% today and speed up another 38%.

-   **2%** AI can do it
-   **38%** AI helps
-   **60%** Needs a person

Low exposure

Lower than 76% of the 923 occupations we scored.

## Task by task

We graded 29 tasks, listed here from most to least exposed. AI can do 1 of them today, speeds up 12 and leaves 16 to people.

| Task | AI exposure |
| --- | --- |
| Transpose music to alternate keys, or to fit individual styles or purposes. Notation software transposes keys routinely, with only a musician's check. | 72% AI can do it |
| Research particular roles to find out more about a character, or the time and place in which a piece is set. LLMs can rapidly summarize historical context and character background. | 62% AI helps |
| Arrange and edit music to fit style and purpose. Notation and AI tools speed arranging and editing, with human style decisions. | 55% AI helps |
| Compose songs or create vocal arrangements. AI drafts lyrics, chords and arrangements, but the creative direction is human. | 50% AI helps |
| Interpret or modify music, applying knowledge of harmony, melody, rhythm, and voice production to individualize presentations and maintain audience interest. AI can suggest harmonic and rhythmic changes, but artistic choices stay human. | 45% AI helps |

## How musicians compare

All occupations (923)

Arts, design, entertainment, sports and media (40)

**Musicians score 22**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 44 for arts, design, entertainment, sports and media.

## Pay and outlook in the US

Median pay

$99,424 a year, May 2025

People employed

36,180 in the US, May 2025

Projected change in jobs

+0.3% from 2024 to 2034

## Skills to build

-   Perform live before audiences in concerts and recitals
-   Sight-read parts in ensemble rehearsals
-   Record and edit sessions in Avid Pro Tools
-   Check transposed parts in notation software by ear
-   Track gig fees and royalties in Microsoft Excel

## Safer roles nearby

3 related occupations with lower scores.

-   [Dancers16 out of 100](https://www.aigentcy.com/ai-exposure/dancers/)
-   [Musical instrument repairers12 out of 100](https://www.aigentcy.com/ai-exposure/musical-instrument-repairers/)
-   [Athletes20 out of 100](https://www.aigentcy.com/ai-exposure/athletes/)

## Questions about musicians and AI

Will musicians be replaced by AI?

Partly. About 2 in 10 working hours of a musician's job go to tasks AI can already do, mostly transposing music to new keys and researching the history and character behind a piece. Playing live, singing in front of audiences and sight-reading in rehearsal stay with people because they need a body and real-time musicianship in the room.

Which musician tasks is AI taking over?

Transposing music to new keys has the highest exposure score at 72, because notation software does it routinely with only a musician's check. Researching roles and historical context, scored 62, is also easy for LLMs, which summarize character background and time periods in seconds. Arranging and editing, scored 55, speeds up with notation tools while style decisions stay human.

Which musician tasks stay human?

Live work scores lowest, with an exposure score of 5 for performing before audiences, singing as a soloist, and sight-reading in rehearsal. These tasks stay with musicians because they need physical presence and real-time musicianship in front of listeners. Playing in orchestras and ensembles, scored 4, follows the same pattern.

How can musicians stay valuable?

Keep the live work at the center of the job. Play concerts, recitals and ensemble dates, and sight-read in rehearsal, since these carry the lowest exposure. Let notation software handle first-pass transposition, then check each part by ear before a session. Use Avid Pro Tools for recordings and Microsoft Excel for gig fees and royalty tracking.

## Related jobs

-   [Actors29 out of 100](https://www.aigentcy.com/ai-exposure/actors/)
-   [Art professors49 out of 100](https://www.aigentcy.com/ai-exposure/art-professors/)
-   [Novelists63 out of 100](https://www.aigentcy.com/ai-exposure/novelists/)
-   [Music producers45 out of 100](https://www.aigentcy.com/ai-exposure/producers/)

## Next steps for musicians

-   ### Check your job
    
    Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do.
    
    [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/)
    

### Check which roles in your team AI can take on

We map your team's tasks, show what AI can do today and build the automations that pay back first.

[Book an AI audit](https://www.aigentcy.com/audit/)

## Related topics

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-   [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/)
-   [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/)
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-   [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/)
-   [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/)
-   [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/)
-   [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/)
-   [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/)

Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.
