Somewhat Resilient

Last Update: 6/19/2026

AI Resilience Score for Choreographers:

48.7%

Median Score

Meaningful human contribution

High

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
Medium-high

Contributing sources

Methodology and Scoring Rationale

To score how resilient choreography is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For choreographers, six of seven sources had data, with Adaptive Capacity missing. Sources mostly agreed that AI exposure is low to medium, since creating movement and artistic vision stays deeply human, giving this career a high Meaningful Human Contribution score. Weaker pay and mobility signals pulled the economic side down, landing choreographers at "Somewhat Resilient" with medium-high confidence.

AI Resilience Report forChoreographers

$55,600 median salary700 annual openingsSOC Code: 27-2032.00

Choreographers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Choreography earns a "Somewhat Resilient" rating because the heart of the work, teaching dancers, shaping movement in a rehearsal room, and responding to live human energy, is something AI simply cannot replicate right now. That said, AI tools are already changing parts of the job in real ways, like helping generate new movement phrases from existing choreography or assessing dancer technique through video analysis, so you will need to get comfortable using these tools as creative partners.

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This role is somewhat resilient

Choreography earns a "Somewhat Resilient" rating because the heart of the work, teaching dancers, shaping movement in a rehearsal room, and responding to live human energy, is something AI simply cannot replicate right now. That said, AI tools are already changing parts of the job in real ways, like helping generate new movement phrases from existing choreography or assessing dancer technique through video analysis, so you will need to get comfortable using these tools as creative partners.

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Analysis of Current AI Resilience

Choreographers

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Choreographers jobs?

Right now, AI is showing up in choreography mostly as a creative partner rather than a replacement. The biggest current example is Wayne McGregor's AISOMA tool, where a custom AI was trained on nearly four million poses from more than two decades of his dance archive [1] so dancers can perform a short sequence and the model extends it with new choreographic phrases. Dance Magazine reports that contemporary choreographers like Rashaun Mitchell and Silas Riener are even making works that imagine the implications of AI, using machine learning such as speech-to-text transcription as part of their pieces [2].

Tools are appearing for other tasks too: a UK legal analysis notes that American Ballet Theatre has begun exploring AI for talent assessment by analyzing video submissions of dancers to evaluate technique and stage presence [3], and that the Bavarian State Ballet experimented with AI-generated set designs for The Nutcracker. But when CalMatters tested today's top video models against real dancers, they concluded that most dancers settled into the view that AI is incapable of capturing the uniquely human aspects of dancing, including improvisation and the energy imparted by audiences [4].

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AI Adoption

How fast is AI adoption growing for Choreographers?

Adoption is likely to stay slow for the embodied parts of the job. A new Gallup analysis using a federal exposure index found that choreographers fall around 0.27 to 0.28, while dancers score just 0.04, because the core of the work involves live presence, interpretation and physical skill that generative systems cannot easily substitute [5]. The same study found little evidence so far that generative AI has broadly reduced artists' earnings, with hours worked actually rising from 2022 through 2024 [5].

Legal friction is another brake: copyright law typically requires human authorship, and AI-generated choreography raises unresolved questions about derivative works, performance rights and licensing [3]. On the cultural side, artists like Jonzi D argue that AI should augment human creativity rather than replace it, and that AI-generated art currently exhibits a uniformity that risks creative stagnation [3]. So the takeaway for a young person eyeing this career is hopeful: expect to use AI as a brainstorming and prototyping sidekick, but the parts of the job that depend on teaching, rehearsing, and shaping live human bodies in a room together remain very much yours.

Sources

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Will AI replace Choreographers?

Will AI replace Choreographers?

Not entirely. We think AI will take over some tasks, but not the whole job.

Choreography earned a 48.7% AI Resilience Score from us, which puts it in a real but manageable zone of change. Right now, AI is showing up mostly as a creative partner. Wayne McGregor's AISOMA tool, for example, was trained on millions of poses from his archive so dancers can perform a short sequence and the model extends it with new choreographic phrases [1]. That is useful, but it is a tool in a choreographer's hands, not a replacement for them.

The parts of this job that stay human are the most important ones: teaching, rehearsing, reading a room, and shaping live bodies in a space together. When researchers tested today's video models against real dancers, most dancers concluded that AI cannot capture improvisation or the energy an audience creates [4]. A federal exposure index also found that dancers score very low on AI exposure because so much of the work is physical and present [5].

The honest concern is on the economic side. Earning potential and career flexibility score low in our model, and job openings are not especially strong through 2034. So the path forward is real but not effortless. Learning to use AI tools as a brainstorming sidekick, while deepening your live performance skills, is the practical move.

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Latest AI news for Choreographers

These articles highlight the evolving role of choreographers in the age of AI, emphasizing their creative potential rather than replacement. Hyeyeon Kim discusses how AI enhances her dance, showcasing a collaborative future. Meanwhile, Wayne McGregor's AI tool, AISOMA, demonstrates how choreographers can leverage technology to innovate and explore new forms. Such advancements suggest that understanding and integrating AI can empower aspiring choreographers, making them more resilient and adaptable in a changing industry. Embracing AI can become a vital part of their artistic evolution.

More Career Info

Career: Choreographers

They create and arrange dance routines, teaching dancers how to perform them for shows or performances.

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Employment & Wage Data

Median Wage

$55,600

Jobs (2024)

4,600

Growth (2024-34)

+6.1%

Annual Openings

700

Education

High school diploma or equivalent

Experience

5 years or more

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

98% ResilienceCore Task

Teach students, dancers, and other performers about rhythm and interpretive movement.

2

95% ResilienceCore Task

Direct rehearsals to instruct dancers in how to use dance steps, and in techniques to achieve desired effects.

3

94% ResilienceCore Task

Develop ideas for creating dances, keeping notes and sketches to record influences.

4

94% ResilienceCore Task

Seek influences from other art forms such as theatre, the visual arts, and architecture.

5

93% ResilienceCore Task

Advise dancers on how to stand and move properly, teaching correct dance techniques to help prevent injuries.

6

93% ResilienceCore Task

Design sets, lighting, costumes, and other artistic elements of productions, in collaboration with cast members.

7

93% ResilienceSupplemental

Manage dance schools, or assist in their management.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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