Medium AI Risk Average

Dancers

SOC Code: 27-2031

Dancers carries a 27% AI exposure score (Medium automation risk) and +4.5% projected employment growth from 2024 to 2034 (BLS), affecting approximately 12,300 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
27% Medium

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+4.5%
2024–2034 (BLS)
+600 jobs
Median Annual Wage
N/A
BLS May 2024
How wage figures are sourced →

AI Exposure vs Industry Growth

Workforce demand by occupation Sanctioned bespoke signature viz (@signature-viz, KIZ-799) showing occupation-level workforce demand from BLS OEWS data. Pure SVG, no external dependencies.Projected Growth 2024-2034 (BLS)Technology+12.8%Healthcare+10.2%Professional+7.8%Education+5.8%Construction+4.5%Finance+4.6%Logistics+3.2%Government+1.2%Manufacturing-2.1%Retail-3.4%
National AI Exposure
40%
Average across all occupations
Avg Wage Growth
+3.2%
Median annual wage change
High-Risk Roles
127
Occupations with >70% AI exposure

Total occupations tracked

832

Covering all SOC major groups

Data currency

2024

BLS Employment Projections

AI exposure avg

40%

Fleet-wide median across all roles

Methodology confidence 92.0%
Industry standard

Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.

Employment Projections

12,300
Employment 2024
12,900
Projected 2034
+4.5%
Change (%)
+600
Change (jobs)

Occupation Insight

Dancers (SOC 27-2031) carries an AI exposure score of 27%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 12,300 workers in this occupation in 2024, and projects a +4.5% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Entry typically requires No formal educational credential, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Dancers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
No formal educational credential
Work Experience
None
On-the-Job Training
Long-term on-the-job training

Top Tasks (O*NET)

  1. 1. Prepare pointe shoes, by sewing or other means, for use in rehearsals and performance.
  2. 2. Study and practice dance moves required in roles.
  3. 3. Harmonize body movements to rhythm of musical accompaniment.
  4. 4. Train, exercise, and attend dance classes to maintain high levels of technical proficiency, physical ability, and physical fitness.
  5. 5. Perform in productions, singing or acting in addition to dancing, if required.
  6. 6. Coordinate dancing with that of partners or dance ensembles.
  7. 7. Develop self-understanding of physical capabilities and limitations, and choose dance styles accordingly.
  8. 8. Perform classical, modern, or acrobatic dances in productions, expressing stories, rhythm, and sound with their bodies.
  9. 9. Collaborate with choreographers to refine or modify dance steps.
  10. 10. Audition for dance roles or for membership in dance companies.

Key Skills Required

  • Active Listening
  • Critical Thinking
  • Coordination
  • Speaking
  • Monitoring
  • Social Perceptiveness
  • Time Management
  • Reading Comprehension
  • Active Learning
  • Service Orientation

Knowledge Areas

  • Fine Arts
  • English Language
  • Customer and Personal Service
  • Mathematics
  • Transportation
  • Sales and Marketing
  • Psychology
  • Therapy and Counseling
  • Education and Training
  • Sociology and Anthropology

Frequently Asked Questions

Will AI replace Dancers?

Dancers has an AI exposure score of 27%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Dancers?

According to BLS Employment Projections 2024-2034, Dancers is projected to grow by 4.5% over the decade. Current employment stands at approximately 12,300 workers.

What skills are needed for Dancers?

Key skills for Dancers include Active Listening, Critical Thinking, Coordination, and others. Typical entry-level education is No formal educational credential.

How much do Dancers earn?

Wage data for Dancers varies by region, experience, and employer. The Bureau of Labor Statistics publishes median wage estimates in its Occupational Employment and Wage Statistics program.

What education is required for Dancers?

The typical entry-level education for Dancers is No formal educational credential. Employers generally expect None of related work experience. On-the-job training typically involves Long-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Dancers?

Dancers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.4
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Related

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial