Share and intensity of work current AI systems can materially affect.
SOC 27-2031
Dancers AI displacement risk
Dance is the human body as the product: audiences pay to watch trained bodies perform live. AI generates choreography concepts and video, but embodiment, stage presence, and live physical artistry cannot be synthesized for a theater audience.
Likely potential for exposed tasks to move to software after workflow integration.
Wage figures here are noisy because most dancers work intermittently. The AI question barely applies to the performance itself; the real career risks are injury and income instability, not automation.
Distribution
Where Dancers sits across 620 tracked roles
Displacement pressure 10 — higher than 0% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
14 O*NET task statements matched to SOC 27-2031. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $50,000 (Fallback estimate; May 2025 median unavailable, US national). BLS does not publish an exact current median for this occupational split, so the page retains a clearly labeled fallback estimate.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Dancers
SOC 27-2031 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 10/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Dancers
The current evidence import matched 14 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks14
SOC27-2031
- Core task / ID 7686
Study and practice dance moves required in roles.
- Core task / ID 7687
Harmonize body movements to rhythm of musical accompaniment.
- Core task / ID 7685
Train, exercise, and attend dance classes to maintain high levels of technical proficiency, physical ability, and physical fitness.
- Core task / ID 7690
Coordinate dancing with that of partners or dance ensembles.
- Core task / ID 7693
Develop self-understanding of physical capabilities and limitations, and choose dance styles accordingly.
- Core task / ID 7688
Perform classical, modern, or acrobatic dances in productions, expressing stories, rhythm, and sound with their bodies.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Perform for live audiences
Exposure 8, automation 2%, augmentation 14%.
Train and rehearse technique
Exposure 12, automation 3%, augmentation 24%.
Learn and interpret choreography
Exposure 26, automation 9%, augmentation 44%.
Audition and promote work
Exposure 34, automation 13%, augmentation 48%.
O*NET evidence: Audition for dance roles or for membership in dance companies. (ID 7692)
TaskExposureAutomationAugmentation
Perform for live audiences82%14%
Train and rehearse technique123%24%
Learn and interpret choreography269%44%
Audition and promote work3413%48%
Transition pathways
Adjacent moves that preserve existing skills
adjacent role
LowChoreographer
Training horizon: 6-18 months. Skill overlap 72. Wage preservation signal 104.
- Create and stage original work
- Build a choreographic portfolio
- Direct rehearsal processes
credentialed transition
LowDance Instructor
Training horizon: 2-6 months. Skill overlap 74. Wage preservation signal 88.
- Develop teaching methodology
- Build a student base
- Document student progress
Comparison guides
Compare the next move before you commit
6-18 months
Dancers to Choreographer
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Dancers into Choreographer.
2-6 months
Dancers to Dance Instructor
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Dancers into Dance Instructor.
What the AI risk score means for Dancers
The displacement pressure score for Dancers is 10. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Audition and promote work carries 13% automation pressure, while Audition and promote work carries 48% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $50,000 (Fallback estimate; May 2025 median unavailable, US national). Employment context: Embodied performance occupation with live-audience demand. Typical education: No formal credential; intensive training from early ages.
Wage vulnerability is 70, while transition feasibility is 58. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Very low displacement pressure
- Live performance is the product
- AI video is a separate medium
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Dancers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Physical performance
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Choreographic interpretation
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Physical fitness
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Self-promotion
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Choreographer, such as create and stage original work.
- By 90 days, compare internal openings and external postings for Choreographer or Dance Instructor and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Dancers
Will AI replace Dancers?
Dance is the human body as the product: audiences pay to watch trained bodies perform live. AI generates choreography concepts and video, but embodiment, stage presence, and live physical artistry cannot be synthesized for a theater audience. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Dancers work are most exposed to AI?
Audition and promote work and Learn and interpret choreography show the strongest automation pressure in this model. Audition and promote work and Learn and interpret choreography are better treated as AI-augmented work.
What should Dancers learn next?
Start with Physical performance, Choreographic interpretation, Physical fitness. The most practical adjacent paths in this model are Choreographer and Dance Instructor.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics