This role has strong human-centric elements that are difficult to automate. While AI will change how work is done, the core responsibilities are likely to remain with humans.
Dancer / Choreographer faces a 17% AI displacement risk. This role has strong human-centric elements that are difficult to automate. The median salary is $62,740, with AI projected to shift compensation by +5%. Our analysis covers timeline, adaptation strategies, and skills that remain valuable.
Source: What About AI? Career Assessment ·
Arts, Media & Entertainment
AI isn't replacing jobs—people using AI are replacing people who don't
What this means: AI is starting to change how this job is done. Workers who learn AI tools now will have an advantage as the shift accelerates.
Complete job elimination risk
When major changes expected
Primary automation technology
Analysis updated February 2026
"I don't think an AI can create the characters and worlds that I have spent decades creating. It would take so long to train it to do it that I just did it myself."
"Artists are always interested in looking around the corner. Choreographers are not only experimenting with AI tools but also creating works that grapple with the potential repercussions of artificial intelligence."
This role has strong human-centric elements that are difficult to automate. While AI will change how work is done, the core responsibilities are likely to remain with humans.
AI choreography tools like EDGE and Wondera are emerging as creative aids, but live performance, emotional expression, and physical artistry remain fundamentally human. AI may slightly boost earnings for tech-savvy choreographers who integrate motion-generation tools into their workflow.
Creative and performance roles will see net job growth through 2030, with AI serving as augmentation rather than replacement for artistic professions
Source: World Economic Forum
Human-AI co-creation will become standard practice in choreography, with AI handling generative drafting while humans retain artistic direction
Source: International Journal of Performance Arts and Digital Media
AI dance generation models like EDGE will achieve near-human quality in beat-matched choreography, expanding into commercial music video and gaming applications
Source: Stanford HAI
Partnered with choreographer Wayne McGregor on 'Living Archive,' training ML models on decades of choreographic work to generate new movement phrases for live dancers
Built the first conversational AI platform for synchronized music and movement creation, enabling choreographers to generate dance sequences through natural language prompts
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