EXPOSED
Dancing is trained physical performance in real time — rehearsal, partnering, spatial adjustment to a live stage and a live audience — and none of that is screen work AI can take. The real exposure is upstream and adjacent: generative video and motion synthesis are eating commercial, music-video, background, and animation-reference work, and choreographers increasingly prototype ideas without bodies in the room. The score lands mid-range not because a machine will dance, but because the occupation has no licensure, thin bargaining power outside union houses, and a shrinking pool of paid screen and commercial gigs subsidizing the live tier.
Nearly all of this fall was the 2020 shock. It has been climbing back since.
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+4.5%
Percentage only. The projection counts a different population from the 8,130 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Growing, and only partly exposed
The BLS expects +4.5% more of these jobs by 2034, and at 62/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~1,800 openings a year on average, including replacing people who leave.
DancerBallerinaPerformerTap DancerLine DancerBelly DancerDance ArtistGo-Go DancerLatin DancerBallet DancerExotic DancerBallet SoloistCompany DancerHip Hop ArtistHip Hop DancerSoloist DancerDance PerformerAcrobatic DancerBurlesque DancerPrecision DancerSoft Shoe DancerPerforming ArtistDiscotheque DancerEntertainment Dancer
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Eight-hour rehearsal days learning combinations by counts, marking spacing to live music tempo changes, holding a partner's weight in a lift and adjusting mid-phrase when the floor is raked or the costume snags — these are the core duties, and none decompose into steps a model can execute, which is why this sits at 17 rather than a perfect 20: audition tapes, motion-capture reference sessions, and background/ensemble screen work are genuinely being substituted.
Hands-on in uncontrolled environments The product is the body itself under load — cold studios, sprung and unsprung floors, tour buses, live stages with pyro and moving set pieces, and injury risk to feet, knees and hips that ends careers — there is no version of this job with the dancer offstage, so it takes the ceiling.
No licence, no signature requirement No state licence, no board certification, no registry: a producer can cast an untrained mover for a music video tomorrow, and the only gatekeeping is AGMA/SAG-AFTRA contracts and the audition room, which is why this is a 1 and not a 5.
Meaningful discretion Choreographers and rehearsal directors set the material and own the artistic call; the dancer's discretion is real but bounded — interpretation of phrasing, split-second recovery when a partner is off their mark, and the decision to dance injured or pull out of a show — consequential to a single performance rather than to anyone's money or safety, which puts it at 9.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (17/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (1/20) is whether the law requires a licensed human to sign. Trust premium (15/20) is whether buyers specifically pay for a person. Judgment and accountability (9/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 25 of this occupation's 62 points (40%).
Embodiment (20/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
No occupation passed every test: close enough to dancers on skills and subject matter, at least 10 points more resistant, no big jump in training, no new licence, no pay cut, and not shrinking on its own. That happens for 223 of the 654 occupations here that aren't SAFE, and it is worth stating plainly rather than leaving the section off.
The usual reason is that exposure travels with the skill profile. The jobs most similar to yours tend to be exposed for the same reasons yours is, so the near neighbours don't clear the gap — and the ones that do are a different kind of work, not a transfer of what you already know. Read that as a limit of this method, not a verdict that you're stuck: it only compares whole occupations, and it cannot see specialisation, industry, or anything you'd bring that isn't in a federal skill survey.
Here is that claim on your own job rather than in the abstract. These are the three occupations closest to this one by skill and subject matter — the places the work would most naturally transfer — with what the register scores them:
That is the whole problem in three lines. The nearest work is not meaningfully safer, so there is no move here that trades a similar skill set for a better verdict. This is not us running out of ideas — it is what the neighbourhood looks like.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 72/100 — SAFE.
Enforceable 'live human performer' guarantees and AI-disclosure labels in ticketing and commercial work — e.g. SAG-AFTRA's post-2023 consent/compensation terms for digital replicas extended explicitly to dancers' movement data, plus Equity/AGMA contract riders barring synthetic bodies substituting for contracted ensembles. If presenters and brands must disclose synthetic performers, the premium on verified live bodies is priced rather than assumed.
Task-mix shift as background, commercial and animation-reference work is synthesized away: what remains is live partnering, repertory reconstruction, and audience-responsive performance. This raises the resistance of the surviving job while shrinking headcount — resistance up, employment down.
Formal expansion of dancer roles into rehearsal direction, repetiteur work, and credited co-choreography — already contractual in some ballet and modern companies — putting consequential casting and staging calls in the dancer's hands rather than the choreographer's alone.
Motion-capture and likeness licensing becoming a paid, negotiated revenue stream rather than a buyout: a residual structure for dancers whose captured movement trains or drives generative models, along the lines of the AI provisions in the 2023 SAG-AFTRA TV/Theatrical agreement and NY's digital replica law (S7676B).
The limit. Liability shield has no realistic route: there is no licensure, no statutory signer, no personal liability attached to performing, and no professional body positioned to create one. Ceiling is roughly 70 — the binding constraint is the number of paid contracts, not the automatability of dancing, and nothing above raises headcount.
| New York-Newark-Jersey City, NY-NJ | 980 | — |
| Los Angeles-Long Beach-Anaheim, CA | 660 | — |
| San Francisco-Oakland-Fremont, CA | 400 | — |
| Las Vegas-Henderson-North Las Vegas, NV | 370 | — |
| Urban Honolulu, HI | 340 | — |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 190 | — |
| Riverside-San Bernardino-Ontario, CA | 170 | — |
| Kansas City, MO-KS | 150 | — |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 62. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.