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STRATUSWORKFORCE SCAN

Music Directors and Composers

In short: today's best AI models could do about 44% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 85% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 5% of the time, stays with people.

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Conduct, direct, plan, and lead instrumental or vocal performances by musical artists or groups, such as orchestras, bands, choirs, and glee clubs; or create original works of music.

12,540 people do this job in the US. $73,710 a year.

A typical 40-hour week

Not yet reviewed task by task
  • AI could take on18 h
  • A person checks AI's work0 h
  • Desk work AI can't do yet20 h
  • Stays with people2 h

Music Directors and Composers, now: of a 40-hour week, AI could take on 18 hours, 0 hours become checking its work, 20 hours are desk work it can't do yet, and 2 hours stay with people.

The largest pieces: Transcribe ideas for musical compositions into musical notation, using instruments, pen and paper, or computers (about 2 h); Experiment with different sounds, and types and pieces of music, using synthesizers and computers as necessary to test and evaluate ideas (about 2 h); Determine voices, instruments, harmonic structures, rhythms, tempos, and tone balances required to achieve the effects desired in a musical composition (about 2 h).

Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.

now
44%

of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

Kinds of work
  • 95%
  • 2%
  • 4%
4%

of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.

Half the desk work within reach
January 2027

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 95% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030
Change assumptionsLong-run pace, four in five

What each choice means: , , , , . Every pace starts from .

At this date and pace, models finish tasks up to 2.4 work days long four times in five.

How far this has come

With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 8%. Today's estimate: 44%.

0%25%50%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 0% within reachClaude 3.7 Sonnet, February 2025: 0% within reacho3, April 2025: 0% within reachGPT-5, August 2025: 0% within reachGemini 3 Pro, November 2025: 1% within reachClaude Opus 4.5, November 2025: 1% within reachGPT-5.2, December 2025: 1% within reachClaude Opus 4.6, February 2026: 1% within reachClaude Mythos Preview (early), April 2026: 8% within reachToday (estimate), November 2026: 44% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.

Measured use over time

Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 30 tasks showed up. Within each of Anthropic's methods, never across a change: 0.078% to 0.05% (released February and March 2025); 0.056% to 0.1% (August 2025 to February 2026).

0%0.1%0.2%20252026released February 2025: 0.078%released March 2025: 0.05%the week of Aug 4, 2025: 0.056%the week of Nov 13, 2025: 0.1%the week of Feb 5, 2026: 0.1%April 2026: noneMay 2026: none
Each dot is one release's sample. A line joins releases made by the same method; a change of method starts a new line. Point at a dot for its window.
Each release
ConversationsShareRankTasks seen
Released February 20250.078%208 of 70814 of 30
Released March 20250.05%271 of 70310 of 30
The week of Aug 4, 20250.056%230 of 6555 of 30
The week of Nov 13, 20250.1%152 of 67214 of 30
The week of Feb 5, 20260.1%153 of 67716 of 30
April 2026nonen/a0 of 30
May 2026nonen/a0 of 30

Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.

Robots and the physical work

Anthropic rates almost none of this job's working time as physical work, so robots do not reach it.

Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.

The tasks

Sorted by . 30 tasks from .

TaskKind
Apply elements of music theory to create musical and tonal structures, including harmonies and melodies.Done hourly or more by most who do it. 7%6.7 h1.7 h to 3.1 work days48%Half by now
Write musical scores for orchestras, bands, choral groups, or individual instrumentalists or vocalists, using knowledge of music theory and of instrumental and vocal capabilities.Done more than yearly by most who do it. 7%4.2 work days6.7 h to 3.3 work weeks5%Half by Apr 2028
Produce recordings of music.7%4.2 work days6.7 h to 3.3 work weeks5%Half by Apr 2028
Create original musical forms, or write within circumscribed musical forms such as sonatas, symphonies, or operas.Done more than yearly by most who do it. 7%2.1 work weeks1 work day to 2.3 work months1%Half by Aug 2029
Fill in details of orchestral sketches, such as adding vocal parts to scores.Done more than monthly by most who do it. 7%6.7 h1.7 h to 2.5 work days55%Half by now
Transcribe ideas for musical compositions into musical notation, using instruments, pen and paper, or computers.Done hourly or more by most who do it. 7%3.3 h50 min to 1.3 work days80%Half by now
Write music for commercial mediums, including advertising jingles or film soundtracks.Done more than yearly by most who do it. 7%2.1 work days3.3 h to 1.7 work weeks15%Half by Oct 2027
Determine voices, instruments, harmonic structures, rhythms, tempos, and tone balances required to achieve the effects desired in a musical composition.Done daily by most who do it. 6%3.3 h50 min to 1.3 work days80%Half by now
Experiment with different sounds, and types and pieces of music, using synthesizers and computers as necessary to test and evaluate ideas.Done daily by most who do it. 6%2.5 h50 min to 1 work day92%Half by now
Arrange music composed by others, changing the music to achieve desired effects.Done more than yearly by most who do it. 5%1.3 work days1.7 h to 4.2 work days27%Half by May 2027
Perform administrative tasks such as applying for grants, developing budgets, negotiating contracts, and designing and printing programs and other promotional materials.Done more than monthly by most who do it. AI observed on this task.5%6.7 h1.7 h to 4.2 work days40%Half by Jan 2027
Rewrite original musical scores in different musical styles by changing rhythms, harmonies, or tempos.Done more than monthly by most who do it. 4%6.7 h1.7 h to 2.5 work days55%Half by now

Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.

Jobs that share skills with this one

From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.

Where this job works

The industry groups that employ the most of it (BLS, May 2025).

Where the most of these jobs are

The metro areas with the most people in it (BLS, May 2025).

Questions about this job

How much of the work of Music Directors and Composers is within reach of AI now?
An estimated 44% of the working time is within reach of AI models now and 85% by the end of 2028, on METR's long-run pace at four in five (71% to 91% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
Which tasks of Music Directors and Composers come within reach first?
Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Transcribe ideas for musical compositions into musical notation, using instruments, pen and paper, or computers (80% of the task's time now, 100% by the end of 2028); Experiment with different sounds, and types and pieces of music, using synthesizers and computers as necessary to test and evaluate ideas (92% of the task's time now, 100% by the end of 2028); and Determine voices, instruments, harmonic structures, rhythms, tempos, and tone balances required to achieve the effects desired in a musical composition (80% of the task's time now, 100% by the end of 2028).
Which tasks of Music Directors and Composers stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Direct groups at rehearsals and live or recorded performances to achieve desired effects such as tonal and harmonic balance dynamics, rhythm, and tempo; Confer with producers and directors to define the nature and placement of film or television music; and Use gestures to shape the music being played, communicating desired tempo, phrasing, tone, color, pitch, volume, and other performance aspects. Together such tasks are about 5% of the working time.
Do people already use AI for the work of Music Directors and Composers?
In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 4%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
Can robots do the physical work of Music Directors and Composers?
Anthropic's robot exposure rating (September 2026) finds almost none of the working time is physical work, so robots do not reach it.
How is this estimated?
From the 30 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.

How the estimates are made

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