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AI Automation Index
Will AI Replace Choreographers?
Task-level automation exposure for Choreographers: 18 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
40%
weighted task index
18 of 18 tasks scored
Median Salary
$55,310 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Low
2,860 people hold this job — size, not growth
Projected 2025–35
+3.1%
employment change
600 openings a year · BLS line item
Pay by state
BLS OEWS publishes 14 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$33,640 – $173,100
Highest medians
New York $173,100
California $75,000
Minnesota $74,810
Maryland $69,140
Ohio $66,910
Lowest medians
Utah $33,640
Illinois $34,560
Florida $36,670
Alabama $38,990
South Dakota $40,320
State figures come from the 27-2032 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 40%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 6%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 68%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 0%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 7%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 5/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
18 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 21%
4 tasks
Medium exposure (≥ 35%) 32%
5 tasks
Low exposure (below 35%) 48%
9 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Emerging & rewritten tasks
Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.
- Revision 08/2024 · Occupational Expert
Plan and direct rehearsals to instruct dancers in dance steps and in techniques to achieve desired effects.
Replaced: Direct rehearsals to instruct dancers in dance steps and in techniques to achieve desired effects.
Constituent Tasks
#11028 · Core · 38% automatable
Revision
Direct rehearsals to instruct dancers in dance steps and in techniques to achieve desired effects.
interpersonal — Performance technique coaching needs live feedback
Train others on performance techniques.
#11032 · Core · 38% automatable
Advise dancers on standing and moving properly, teaching correct dance techniques to help prevent injuries.
interpersonal — Performance technique coaching needs live feedback
Train others on performance techniques.
#11038 · Core · 38% automatable
Teach students, dancers, and other performers about rhythm and interpretive movement.
interpersonal — Performance technique coaching needs live feedback
Train others on performance techniques.
#11043 · Core · 30% automatable
Record dance movements and their technical aspects, using a technical understanding of the patterns and formations of choreography.
physical manipulation — Choreography embodied; AI only suggests sequences
Choreograph dances.
#11035 · Core · 30% automatable
Direct and stage dance presentations for various forms of entertainment.
interpersonal — Artistic coordination needs human creative leadership
Coordinate artistic activities.
#11031 · Core · 72% automatable
Choose the music, sound effects, or spoken narrative to accompany a dance.
text generation — Content selection aided; audience judgment human
Determine presentation subjects or content.
#11040 · Core · 30% automatable
Experiment with different types of dancers, steps, dances, and placements, testing ideas informally to get feedback from dancers.
physical manipulation — Choreography embodied; AI only suggests sequences
Choreograph dances.
#11041 · Core · 82% automatable
Seek influences from other art forms, such as theatre, the visual arts, and architecture.
information retrieval — AI tracks trends across sources continuously
Monitor current trends.
#11036 · Core · 30% automatable
Develop ideas for creating dances, keeping notes and sketches to record influences.
physical manipulation — Choreography embodied; AI only suggests sequences
Choreograph dances.
#11033 · Core · 30% automatable
Coordinate production music with music directors.
interpersonal — Artistic coordination needs human creative leadership
Coordinate artistic activities.
#11030 · Core · 30% automatable
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.
physical manipulation — Choreography embodied; AI only suggests sequences
Choreograph dances.
#11034 · Core · 35% automatable
Audition performers for one or more dance parts.
interpersonal — Interviewing and judging performers is human relational work
Audition or interview potential performers or staff members.
#11039 · Core · 40% automatable
Assess students' dancing abilities to determine where improvement or change is needed.
visual inspection — Athletic skill assessment requires live observation
Evaluate skills of athletes or performers.
#11042 · Core · 60% automatable
Design sets, lighting, costumes, and other artistic elements of productions, in collaboration with cast members.
text generation — Concepts generated; commercial curation human
Develop artistic or design concepts for decoration, exhibition, or commercial purposes.
#11037 · Core · 3% automatable
Train, exercise, and attend dance classes to maintain high levels of technical proficiency, physical ability, and physical fitness.
situated mobility — Practicing physical skills requires embodiment
Practice athletic or artistic skills.
#11029 · Core · 72% automatable
Read and study story lines and musical scores to determine how to translate ideas and moods into dance movements.
text generation — Script comprehension and requirement extraction well handled
Study scripts to determine project requirements.
#11045 · Core · 28% automatable
Manage dance schools, or assist in their management.
interpersonal — Managing arts departments is creative leadership and relationships
Manage operations of artistic or entertainment departments or organizations.
#11044 · Supplemental · 30% automatable
Restage traditional dances and works in dance companies' repertoires, developing new interpretations.
physical manipulation — Choreography embodied; AI only suggests sequences
Choreograph dances.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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