Will AI replace composers?
Updated
Composers score 48 of 100 for AI exposure. The largest share of their task time, 62%, is work AI speeds up while they stay in charge. AI can take over 13% outright, and 25% stays with people.
- 13% AI can do it
- 62% AI helps
- 25% Needs a person
Moderate exposure
Higher than 70% of the 923 occupations we scored.
Task by task
We graded 30 tasks, listed here from most to least exposed. AI can do 4 of them today, speeds up 19 and leaves 7 to people.
| Task | AI exposure |
|---|---|
| Copy parts from scores for individual performers. Notation software extracts individual parts automatically. | 85% AI can do it |
| Transpose music from one voice or instrument to another to accommodate particular musicians. Transposition is a built-in software function now. | 82% AI can do it |
| Perform administrative tasks such as applying for grants, developing budgets, negotiating contracts, and designing and printing programs and other promotional materials. LLMs draft grants, budgets, and program copy; humans review. | 68% AI can do it |
| Transcribe ideas for musical compositions into musical notation, using instruments, pen and paper, or computers. Notation software and AI transcription convert audio to scores. | 62% AI can do it |
| Arrange music composed by others, changing the music to achieve desired effects. Arrangement tools draft parts; artistic choices remain with arranger. | 62% AI helps |
| Transcribe musical compositions and melodic lines to adapt them to a particular group, or to create a particular musical style. Adapting parts to groups is rule-based and AI-assisted. | 60% AI helps |
| Write music for commercial mediums, including advertising jingles or film soundtracks. Generators produce jingles fast; client briefs need human creativity. | 58% AI helps |
| Rewrite original musical scores in different musical styles by changing rhythms, harmonies, or tempos. Style rewrites are AI-friendly; musician checks musical sense. | 58% AI helps |
| Apply elements of music theory to create musical and tonal structures, including harmonies and melodies. AI can suggest harmonies and melodies; musician curates results. | 55% AI helps |
| Experiment with different sounds, and types and pieces of music, using synthesizers and computers as necessary to test and evaluate ideas. Generative tools speed experiments; musician evaluates sound by ear. | 55% AI helps |
Show the other 20 tasks
| Task | AI exposure |
|---|---|
| Stay abreast of the latest trends in music and music technology. AI summarizes music news fast; curation and learning stay personal. | 55% AI helps |
| Fill in details of orchestral sketches, such as adding vocal parts to scores. AI can fill orchestral detail from sketches; musician checks idiom. | 55% AI helps |
| Write musical scores for orchestras, bands, choral groups, or individual instrumentalists or vocalists, using knowledge of music theory and of instrumental and vocal capabilities. AI drafts notation, but composer shapes orchestration and voicing. | 50% AI helps |
| Produce recordings of music. AI handles editing and mastering; producers guide artistic choices. | 50% AI helps |
| Plan and schedule rehearsals and performances, and arrange details such as locations, accompanists, and instrumentalists. Scheduling tools help, but venue and player calls stay manual. | 45% AI helps |
| Create original musical forms, or write within circumscribed musical forms such as sonatas, symphonies, or operas. Large forms need sustained creative vision; AI helps with drafts. | 42% AI helps |
| Study scores to learn the music in detail, and to develop interpretations. AI summarizes scores and context, but interpretation stays personal. | 40% AI helps |
| Determine voices, instruments, harmonic structures, rhythms, tempos, and tone balances required to achieve the effects desired in a musical composition. AI can propose voicings and tempos; choices need musical judgment. | 40% AI helps |
| Explore and develop musical ideas based on sources such as imagination or sounds in the environment. AI brainstorms ideas; original creative direction stays human. | 40% AI helps |
| Study films or scripts to determine how musical scores can be used to create desired effects or moods. AI can summarize scripts, but mood decisions depend on director feedback. | 40% AI helps |
| Consider such factors as ensemble size and abilities, availability of scores, and the need for musical variety, to select music to be performed. Judgment about ensemble fit relies on local knowledge of players. | 35% AI helps |
| Coordinate and organize tours, or hire touring companies to arrange concert dates, venues, accommodations, and transportation for longer tours. Itineraries and research are AI-aided; booking calls need people. | 35% AI helps |
| Collaborate with other colleagues, such as copyists, to complete final scores. Copyist teamwork is mostly human, though software speeds formatting. | 30% AI helps |
| Confer with producers and directors to define the nature and placement of film or television music. Live meetings with producers on placement need human negotiation. | 20% Needs a person |
| Assign and review staff work in such areas as scoring, arranging, and copying music, and vocal coaching. Supervising staff is people management; AI helps only with review. | 20% Needs a person |
| Audition and select performers for musical presentations. Live auditions need human ears and judgment of performers. | 15% Needs a person |
| Meet with soloists and concertmasters to discuss and prepare for performances. Live rehearsal conversations with soloists need human presence. | 15% Needs a person |
| Direct groups at rehearsals and live or recorded performances to achieve desired effects such as tonal and harmonic balance dynamics, rhythm, and tempo. Live leading of musicians requires a human conductor present. | 8% Needs a person |
| Use gestures to shape the music being played, communicating desired tempo, phrasing, tone, color, pitch, volume, and other performance aspects. Live physical gesturing to shape players in real time. | 5% Needs a person |
| Position members within groups to obtain balance among instrumental or vocal sections. Physical placement of players in a room needs a person. | 5% Needs a person |
How composers compare
All occupations (923)
Arts, design, entertainment, sports and media (40)
Pay and outlook in the US
- Median pay
- $73,710 a year, May 2025
- People employed
- 12,540 in the US, May 2025
- Projected change in jobs
- +1.2% from 2024 to 2034
Skills to build
- Check AI-extracted parts for accuracy in Sibelius
- Conduct live rehearsals with choirs and orchestras
- Audition and select performers in person
- Mix and master recordings in Avid Pro Tools
- Negotiate commission and film placement terms with producers
- Review AI-drafted grant applications and budgets in Word and Excel
Safer roles nearby
5 related occupations with lower scores.
Questions about composers and AI
Will composers be replaced by AI?
Partly. About 4 in 10 of a composer's working hours go to tasks AI can already do, mostly copying parts from scores and transposing music for particular musicians. Original creative choices and live direction stay with people because they need judgment in the room.
Which composer tasks is AI taking over?
Part extraction and transposition lead the list. Copying parts from scores for individual performers has an exposure score of 85, and transposing music for particular musicians scores 82. Notation software such as Sibelius already produces these parts automatically, so the work shifts from copying to checking the output.
Which composer tasks stay human?
Live direction stays human. Directing groups at rehearsals and performances scores 8 on exposure, and positioning sections for balance scores 5, because both need a conductor reading players in real time. Auditions score 15, since judging a performer's sound needs human ears.
How do composers stay valuable as AI takes on more tasks?
Keep the artistic decisions that software is unable to make. Check AI-extracted parts in Sibelius and mixes in Pro Tools before sign-off, lead live rehearsals, and take on film placement talks with producers. Review AI-drafted grant applications in Word before submission.
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