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STRATUSWORKFORCE SCAN

Choreographers

In short: today's best AI models could do about 27% 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 44% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 55% of the time, stays with people.

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Create new dance routines. Rehearse performance of routines. May direct and stage presentations.

2,860 people do this job in the US. $55,310 a year.

A typical 40-hour week

Not yet reviewed task by task
  • AI could take on11 h
  • A person checks AI's work0 h
  • Desk work AI can't do yet7 h
  • Stays with people22 h

Choreographers, now: of a 40-hour week, AI could take on 11 hours, 0 hours become checking its work, 7 hours are desk work it can't do yet, and 22 hours stay with people.

The largest pieces: Record dance movements and their technical aspects, using a technical understanding of the patterns and formations of choreography (about 3 h); Develop ideas for creating dances, keeping notes and sketches to record influences (about 3 h); Read and study story lines and musical scores to determine how to translate ideas and moods into dance movements (about 1 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
27%

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

Kinds of work
  • 45%
  • 0%
  • 55%
8%

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
Already

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 45% 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, 6%. Today's estimate: 27%.

0%10%20%30%40%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: 6% within reachToday (estimate), November 2026: 27% 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 18 tasks showed up. Within each of Anthropic's methods, never across a change: 0.016% to 0.086% (released February and March 2025); 0.011% to 0.098% (August 2025 to February 2026).

0%0.1%0.2%20252026released February 2025: 0.016%released March 2025: 0.086%the week of Aug 4, 2025: 0.011%the week of Nov 13, 2025: 0.15%the week of Feb 5, 2026: 0.098%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 20250.016%479 of 7083 of 18
Released March 20250.086%177 of 7034 of 18
The week of Aug 4, 20250.011%444 of 6552 of 18
The week of Nov 13, 20250.15%109 of 6723 of 18
The week of Feb 5, 20260.098%164 of 6773 of 18
April 2026nonen/a0 of 18
May 2026nonen/a0 of 18

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 5% of this job's working time as physical work. For 0% of the working time, a robot has been shown doing most of the task somewhere. 0.00 of 3.

  • Not physical 95%
  • No robot shown 5%

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 . 18 tasks from .

TaskKind
Design dances for individual dancers, dance companies, musical theatre, opera, fashion shows, film, television productions, and special events, and for dancers ranging from beginners to professionals.Done more than yearly by most who do it. 13%2.1 work days3.3 h to 1.7 work weeks15%Half by Oct 2027
Direct rehearsals to instruct dancers in dance steps and in techniques to achieve desired effects.Done daily by most who do it. 13%2.5 h50 min to 6.7 hStays with people
Direct and stage dance presentations for various forms of entertainment.Done daily by most who do it. 11%5 h1.7 h to 2.5 work daysStays with people
Restage traditional dances and works in dance companies' repertoires, developing new interpretations.Done more than yearly by most who do it.8%1.7 work days3.3 h to 1.3 work weeksStays with people
Record dance movements and their technical aspects, using a technical understanding of the patterns and formations of choreography.Done daily by most who do it. 7%2.5 h50 min to 1 work day92%Half by now
Develop ideas for creating dances, keeping notes and sketches to record influences.Done daily by most who do it. AI observed on this task.7%3.3 h1.7 h to 1.7 work days91%Half by now
Experiment with different types of dancers, steps, dances, and placements, testing ideas informally to get feedback from dancers.Done daily by most who do it. 7%2.5 h50 min to 5 hStays with people
Manage dance schools, or assist in their management.Done daily by most who do it. 6%6.7 h1.7 h to 4.2 work days40%Half by Jan 2027
Advise dancers on standing and moving properly, teaching correct dance techniques to help prevent injuries.Done daily by most who do it. 4%50 min25 min to 1.7 hStays with people
Teach students, dancers, and other performers about rhythm and interpretive movement.Done daily by most who do it. 4%1.7 h50 min to 2.5 hStays with people
Read and study story lines and musical scores to determine how to translate ideas and moods into dance movements.Done more than monthly by most who do it. 4%3.3 h50 min to 1.3 work days80%Half by now
Train, exercise, and attend dance classes to maintain high levels of technical proficiency, physical ability, and physical fitness.Done daily by most who do it. Robots: no robot shown. Anthropic's rating.3%1.7 h50 min to 2.5 hStays with people

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 Choreographers is within reach of AI now?
An estimated 27% of the working time is within reach of AI models now and 44% by the end of 2028, on METR's long-run pace at four in five (38% to 45% 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 Choreographers 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: Record dance movements and their technical aspects, using a technical understanding of the patterns and formations of choreography (92% of the task's time now, 100% by the end of 2028); Develop ideas for creating dances, keeping notes and sketches to record influences (91% of the task's time now, 100% by the end of 2028); and Read and study story lines and musical scores to determine how to translate ideas and moods into dance movements (80% of the task's time now, 100% by the end of 2028).
Which tasks of Choreographers stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Direct rehearsals to instruct dancers in dance steps and in techniques to achieve desired effects; Direct and stage dance presentations for various forms of entertainment; and Restage traditional dances and works in dance companies' repertoires, developing new interpretations. Together such tasks are about 55% of the working time.
Do people already use AI for the work of Choreographers?
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 8%. 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 Choreographers?
Anthropic's robot exposure rating (September 2026) finds 5% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 0% of the working time. Its index is 0.00 of 3. A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
How is this estimated?
From the 18 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

This job in your state or metro area
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Your own version of this job

The page above is the occupation. Your job is your title and what you actually do: give both, and they are read against these tasks in your browser, nothing sent anywhere. The headline is free: how much of your working time is within reach now and by the end of 2028, and how many of the tasks your description names.

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