Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They express stories and emotions through movement, performing in shows, music videos, or events to entertain and inspire audiences.
Summary
A career in dance is considered "Stable" because AI tools can help with training and generating new choreography, but they can't replace the unique human touch dancers bring to performances. Dancing requires emotional expression, creativity, and the ability to connect with an audience, which machines can't replicate.
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Learn more about how you can thrive in this position
Summary
A career in dance is considered "Stable" because AI tools can help with training and generating new choreography, but they can't replace the unique human touch dancers bring to performances. Dancing requires emotional expression, creativity, and the ability to connect with an audience, which machines can't replicate.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Dancers
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
Right now, AI is mostly a helper for dancers, not a replacement. For example, research projects have shown that an “AI tutor” can watch a dancer on video and compare their body positions to a teacher’s moves, giving feedback on how well they match [1]. Other AI tools can even generate dance sequences: one system called X-Dancer (by ByteDance) uses AI to create realistic dance videos from music [2].
Teams have also built software (like “Living Archive” or LuminAI) that suggest new steps or act as a virtual partner by learning and mirroring a dancer’s moves [3] [3]. All these tools help with practice or choreography, but they don’t actually perform or plan a show – tasks like attending fittings, doing makeup, or coordinating a live partner still require real people. In fact, studies find that very few jobs are 100% automatable [4].
Most often, machines take over only some routine tasks, while humans keep the creative, unpredictable parts. Dancing is an art with changing music, costumes, and emotion – it depends on a human’s flexibility and creativity [4] [1]. In summary, AI can assist with training feedback and choreographic ideas, but the core work of a dancer – performing in sync with music and other people – remains firmly human.

AI Adoption
Will dance embrace AI soon? Probably slowly. There are a few AI tools for dance training and creation, but they are mostly research projects or niche apps.
Big studios and schools have not flooded the field with “robot dancers.” One reason is cost versus benefit: according to U.S. data, there are only about 12,000 dancer jobs and a median wage around $24/hour [5] [5]. Buying fancy AI systems might not save much money compared to hiring dancers, and it’s hard to measure the payoff. Also, audiences and choreographers prize human expression.
Experts note that people worry about AI diluting each artist’s unique style [3]. In fact, when testers tried an AI tutor, learners said it helped with precise feedback but still needed a real teacher’s encouragement [1]. Culturally, dance is valued as a human art form, so teams won’t rush to replace performers with machines.
On the positive side, seeing AI as a creative tool (not a threat) can help artists. Some companies in entertainment are exploring AI (e.g. Disney set up an AI office [6]), which means the tech might trickle into dance for things like visual effects or new choreography ideas. Overall, AI is seen as a helper – useful for practice tips or inspiration – while real dancers continue to bring the emotion, coordination, and personal touch that machines can’t match [3] [1].

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Jobs (2024)
12,300
Growth (2024-34)
+4.5%
Annual Openings
1,800
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Train, exercise, and attend dance classes to maintain high levels of technical proficiency, physical ability, and physical fitness.
Perform classical, modern, or acrobatic dances in productions, expressing stories, rhythm, and sound with their bodies.
Collaborate with choreographers to refine or modify dance steps.
Coordinate dancing with that of partners or dance ensembles.
Audition for dance roles or for membership in dance companies.
Develop self-understanding of physical capabilities and limitations, and choose dance styles accordingly.
Teach dance students.
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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