Will AI replace Choreographers?
Work in Choreographers sits in the in-between: AI reaches some of it (~27% in theory) but is only measured doing about 8% today — part human, part machine.
O*NET-SOC 27-2032
How your 17 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~27%). By late 2025, real-world AI use had reached about 8% of its task activity (growing but still limited). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~27%), real-world use (~8%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 17 tasks, ratedBased on real task-level AI scores — click to collapse
- Develop ideas for creating dances, keeping notes and sketches to record influences.
- Choose the music, sound effects, or spoken narrative to accompany a dance.
- Design dances for individual dancers, dance companies, musical theatre, opera, fashion shows, film, television productions, and special events, and for dancers ranging from beginners to professionals.
- Seek influences from other art forms, such as theatre, the visual arts, and architecture.
- Coordinate production music with music directors.
- Design sets, lighting, costumes, and other artistic elements of productions, in collaboration with cast members.
- Record dance movements and their technical aspects, using a technical understanding of the patterns and formations of choreography.
- Assess students' dancing abilities to determine where improvement or change is needed.
- Direct rehearsals to instruct dancers in dance steps and in techniques to achieve desired effects.
- Teach students, dancers, and other performers about rhythm and interpretive movement.
- Advise dancers on standing and moving properly, teaching correct dance techniques to help prevent injuries.
- Experiment with different types of dancers, steps, dances, and placements, testing ideas informally to get feedback from dancers.
- Train, exercise, and attend dance classes to maintain high levels of technical proficiency, physical ability, and physical fitness.
- Read and study story lines and musical scores to determine how to translate ideas and moods into dance movements.
- Direct and stage dance presentations for various forms of entertainment.
- Audition performers for one or more dance parts.
- Restage traditional dances and works in dance companies' repertoires, developing new interpretations.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.