π‘ Dancers have a composite risk score of 40/100 (Frey-Osborne probability: 13%, GenAI exposure: 53/100). With 9,060 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 9,060 workers and a median wage of Varies,dancers represent a significant portion of the US workforce. Their GenAI exposure index is 53%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
40/100
Employment
9,060
Median Wage
Varies
GenAI Exposure
53%
β οΈ Top Risk Factors
AI copywriting tools reducing editorial demand
AI music composition and audio production
Generative AI creating visual art and design assets
π‘οΈ Tasks AI Can't Easily Replace
Cultural interpretation and contextual sensitivity
Physical artistry and hands-on creative execution
Original creative vision and artistic direction
Live performance and audience engagement
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Artists and Related Workers, All Other
79% skills overlap Β· $73K median wage
Fashion Designers
79% skills overlap Β· $81K median wage
Special Effects Artists and Animators
75% skills overlap Β· $100K median wage
β Frequently Asked Questions
Will AI completely replace dancers?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for dancers?
Dancers have a composite AI automation risk score of 40 out of 100, classified as "Moderate".
How many dancers are there in the US?
There are approximately 9,060 dancers employed in the United States.
What do dancers earn?
The median annual wage for dancers is Varies.
What skills should dancers develop?
Focus on tasks AI can't easily replicate: cultural interpretation and contextual sensitivity, physical artistry and hands-on creative execution, original creative vision and artistic direction, live performance and audience engagement. These human-centric skills will become more valuable as routine tasks are automated.