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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Mostly Resilient
Last Update: 5/19/2026
Your role’s AI Resilience Score is
54.9%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forDancers
Dancers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Dancing is "Mostly Resilient" because the heart of the career — live performance, physical expression, and the electric energy between a dancer and their audience — is something AI simply can't replicate. While AI tools are starting to assist with things like choreography research, motion capture, and digital animation, they're augmenting the work rather than replacing dancers themselves (in fact, AI-generated dance videos still regularly produce glitchy results like extra limbs!
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Dancing is "Mostly Resilient" because the heart of the career — live performance, physical expression, and the electric energy between a dancer and their audience — is something AI simply can't replicate. While AI tools are starting to assist with things like choreography research, motion capture, and digital animation, they're augmenting the work rather than replacing dancers themselves (in fact, AI-generated dance videos still regularly produce glitchy results like extra limbs!
Read full analysisAnalysis of Current AI Resilience
Dancers
Updated Quarterly • Last Update: 5/14/2026
How is AI changing Dancers jobs?
Right now, AI is mostly augmenting dance rather than replacing dancers. Choreographers are experimenting with AI as a creative partner — for example, Rashaun Mitchell and Silas Riener used speech-to-text, body tracking, and 3-D modeling to create live media [1] in their piece Open Machine. AI-assisted motion-capture is also reshaping how dance gets recorded and reused; recent advances make it simpler to record, analyze, and digitally re-create a person's movements [1], affecting work in video games like Just Dance.
Researchers note that early systems like chor-rnn and GrooveNet trained AI on motion capture to generate choreography in the style of individual choreographers [1], though these remain mostly in research labs. When tested on actual dance, though, generative video still struggles: all 36 videos from Sora, Veo, Kling, and Hailou failed to produce the specific dance requested [2], with about a third showing glitches like extra limbs or melting bodies.
Sources
How fast is AI adoption growing for Dancers?
Adoption will likely be slow. BCG estimates that 57% of jobs depend heavily on physical presence, hands-on work, or sustained human interaction, limiting AI's ability to disrupt them [3] — dance fits squarely in that group. Audiences pay for the live, human energy of performance, and the BLS projects dancer and choreographer employment to grow 5% from 2024 to 2034, faster than average [4].
Legal and ethical pushback is also slowing things down: SAG-AFTRA's 2026 Interactive Media Agreement set new standards for AI and digital replicas [5] after video-game motion actors struck over AI protections. The biggest takeaway? Your improvisation, cultural expression, teaching, and the joy you share with audiences are exactly the human qualities AI can't fake — so keep dancing.
Sources
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More Career Info
Career: Dancers
They express stories and emotions through movement, performing in shows, music videos, or events to entertain and inspire audiences.
Parent Careers
Similar Careers
Employment & Wage Data
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
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Train, exercise, and attend dance classes to maintain high levels of technical proficiency, physical ability, and physical fitness.
2
Study and practice dance moves required in roles.
3
Harmonize body movements to rhythm of musical accompaniment.
4
Attend costume fittings, photography sessions, and makeup calls associated with dance performances.
5
Perform classical, modern, or acrobatic dances in productions, expressing stories, rhythm, and sound with their bodies.
6
Coordinate dancing with that of partners or dance ensembles.
7
Collaborate with choreographers to refine or modify dance steps.
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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The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
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