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Professionals · code 2653

Dancers and choreographers

AI can generate music. It can't dance.

AI barely touches five of the six tasks, including rehearsals, auditions and daily training. Working out the music with the musical director is mostly out of its reach too.

What they actually do (and what else they get called)

Dancers and choreographers conceive and create or perform dances. Tasks include - (a) conceiving and creating dances, which often convey a story, theme, idea or mood, by a pattern of steps, movements and gestures; (b) performing dances as a soloist, with a partner or as a member of a dancing group before live audiences or for film, television or other visual media; (c) training, exercising and attending dance classes to maintain the required levels of ability and fitness; (d) directing and participating in rehearsals to practice dance steps and techniques required for a performance; (e) auditioning for dance roles or for membership in dance companies; (f) coordinating the production music with the music directors. Examples of the occupations classified here: - Choreographer - Ballet dancer - Night-club dancer - Street dancer Some related occupations classified elsewhere: - Dance teacher - 2355

  • dancer
  • choreographer

Job titles from the EU's ESCO list. Search for any of them on the jobs page and you'll end up here.

81 / 100

Strongly holds up against AI

Most of this job still needs an actual human. AI would mostly be making the tea.

Not the odds you keep your job. It's how much of the everyday work still needs a person, out of 100.

← Robot's turf Human's turf →

The ILO's official verdict: Not Exposed

134 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 6 tasks for how much of it AI could do. They average 19.4 out of 100, so it holds up at 100 − 19.4 = 80.6.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Not Exposed”: None of this job's tasks scored high enough to count.

This job rates 35.3 out of 100 for how hands-on it is. The score above only looks at AI tools, not robots, but for work this far from the physical that matters less.

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Man v Bot · compare

Who holds up better?

Dancers and choreographers 81

v

Go on, try your partner's job. Or your sibling's. We won't tell.

Man v Bot

Where the bot helps, and where the human wins

Bot

What AI takes

The routine stuff. You may not miss it.

  • Music selection and editing.
  • Promotion and audition videos.
  • Rehearsal schedules.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Performing live.
  • Creating choreography.
  • Training and physical practice.

Both

What's arriving

New work that only exists because the AI does.

  • Motion capture for games and film.
  • Dance content built for social media.
  • Mixing dance with digital effects.

Written by a human, from the ILO's task ratings below. Yes, we see the irony. Read it as one person's take.

Meet your two rivals

They're not the same machine. AI software can only reach the parts of a job done on a screen or in words. A chatbot can't climb a ladder. A robot might, one day, if it doesn't fall off.

The AI

Lives in a screen. Never had to fix a boiler.

Threat level: Low

24 could do without you

It could take over very little of the work on its own. It could help with 58 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Lower

35 how hands-on

Not much of this job needs hands, so the robot can sit this one out.

So could a robot do the physical part?

Less than half of this job is hands-on. Robots still matter, but for a smaller part of the work, so we don't sort it any further.

Robots hate fiddly work in awkward spaces. On that measure, this job scores 25 out of 100. The higher it is, the longer the robot waits.

35 How
hands-on
25 How fiddly
and cramped

Kind of hands-on work Less than half hands-on

The small print

They aren't a robot score, and nothing on this page is. Nobody measures how far robots have got well enough to put a number on it. These are the closest thing we have: how hands-on the job is, and how much fiddly, cramped work it takes, which is what Frey and Osborne found hardest for machines.

From O*NET, averaged across 2 US jobs .

finger skill 25.9 · hand skill 26.7 · cramped spaces 20.9 · averaged · rule: hands-on under 50

estimated O*NET 31.0 BLS occupational crosswalk chain ISCO-08 to 2010 SOC (Aug 2012, rev. Jun 2015); 2010 to 2018 SOC (Nov 2017); O*NET-SOC 2019 taxonomy data 0.8-observed-use measures chosen by Frey & Osborne (2017) · the grouping is a sorting, not a measurement

The job, task by task

Every job is really a bundle of tasks. Here's this one unpacked, with how much of each AI could do, out of 100. The score is the average, and averages can hide a lot.

AI's favourite task here scores 37, against an average of 19. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 37

    Coordinating the production music with the music directors.

    Low
  2. 24

    Directing and participating in rehearsals to practice dance steps and techniques required for a performance

    Very Low
  3. 22

    Conceiving and creating dances, which often convey a story, theme, idea or mood, by a pattern of steps, movements and gestures

    Very Low
  4. 12

    Performing dances as a soloist, with a partner or as a member of a dancing group before live audiences or for film, television or other visual media

    Very Low
  5. 12

    Auditioning for dance roles or for memberships in dance companies

    Very Low
  6. 10

    Training ,exercising and attending dance classes to maintain the required levels of ability and fitness

    Very Low

6 tasks · the High to Very Low labels are the ILO's

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Sidekick or replacement?

A tool that makes you faster is a very different thing from one that does the task while you watch. Jobs and Skills Australia measured the two separately, which is handy.

AI helps you
58
AI does it for you
24

Sidekick wins, by 34 points.

How good a match is this?

One Australian job matches this one closely, so this is about as reliable as it gets here.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.8-observed-use matched to Australian jobs 2111

Meanwhile, in real life…

Everything else here is about what AI could do. This is what people actually did. When they asked Claude for help with this kind of work, did they hand the whole task over, or roll their sleeves up and work through it together?

Tiny sample alert This job makes up under 0.01% of all the conversations: a tiny slice. People using AI for a job isn't the same as AI being able to do it.

Out of every 100 conversations

72
28

worked through it together handed it over

The small print

Anthropic publishes this about its own product, and it doesn't feed into any score here. These are people who use Claude, not workers in general, so little use here doesn't mean AI can't reach the job.

These two add up to 100. The bars elsewhere on the page don't, because each is scored on its own, so we don't put them side by side.

observed use Anthropic Economic Index release 2026-06-26, period beginning 2026-05-01 data 0.8-observed-use 2026-05-01 · Anthropic, about its own product

So, should dancers and choreographers be worried?

Short answer: not really. Put the kettle on.

No. The most exposed task is coordinating music with music directors, rated Low; rehearsing, creating and performing dances rate Very Low. AI may help with music, video and promotion; dance is bodies in a room.

Worth remembering: we score tasks, not jobs. When AI takes on a task, the job usually reshuffles around it rather than vanishing.

Where this job could lead

None of the new jobs we've written up start from here yet. Could be you're the first. See the jobs AI is creating →

How are the neighbours doing?

There are 92 jobs in the “Professionals” family, averaging 61. This one is above the family average.

Pit this against any other job →