COOKED
The modal model's deliverable is a still image for catalog, e-commerce, or advertising — and that image is exactly what generative models now produce at usable commercial quality, without call sheets, day rates, or travel. What survives is physical: live runway and trunk shows, fit modeling on real garments during sampling, in-person brand activations, and the small tier of named talent whose recognizable identity is the product being licensed. No license, no sign-off requirement, and almost no decision authority means there is no regulatory or accountability moat to slow substitution.
Dipped in 2020, then grew past where it started.
Median pay $28,350 → $48,470 +36.8% in real terms
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
-0.5%
Percentage only. The projection counts a different population from the 3,780 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -0.5% by 2034. This is the case where the score and the forecast agree, and it is the one worth taking seriously.
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.
~1,200 openings a year on average, including replacing people who leave.
ModelArt ModelFit ModelHat ModelHand ModelInfluencerMale ModelNude ModelAgent ModelFloor ModelSales ModelFigure ModelRunway ModelStudio ModelClothes ModelFashion ModelFitness ModelModel BuilderSpirits ModelArtist's ModelArt Class ModelFine Arts ModelFreelance ModelLife Drawing Model
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier Holding a pose under strobes for an e-commerce still is now the single most reproducible thing a diffusion model does, and the reason this sits at 7 rather than 3 is the residual work that can't be rendered — walking a 20-look show on a live runway, standing for a fitter pinning a sample at a size-8 block, and appearing at a store opening where the crowd is the point.
Hands-on in uncontrolled environments Fit modeling means your actual measurements are the tool and you spend hours on a fitting stand in an unheated sample room; runway and location shoots put you outdoors, on cobblestones in unbroken shoes, changing backstage on a schedule you don't set — that's real physical exposure, but it stops short of 17+ because nobody is asking you to carry loads or operate equipment.
No licence, no signature requirement There is no state license, no board, no continuing-education requirement to call yourself a model; agency representation is a contract, not a credential, and the brand's legal exposure for the campaign sits with the client and photographer, not with you.
Executes defined procedures on defined inputs The call sheet, stylist, art director, and photographer decide the look, the pose, and the frame; your discretion is micro-adjustment within someone else's direction, and no consequential decision rests on your read of an ambiguous situation.
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 (7/20 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 (7/20) is whether buyers specifically pay for a person. Judgment and accountability (3/20) 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 11 of this occupation's 31 points (35%).
Embodiment (13/20) 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.
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 45/100 — EXPOSED.
Task-mix shift toward the irreducibly physical: fit/sampling modeling on live pattern iterations, runway, and in-person activations become a larger share of remaining paid days as flat catalog work is absorbed. This raises the score for the surviving job without any new law, but it also shrinks headcount.
AI-disclosure and consent statutes that make brands legally exposed for synthetic bodies: California AB 2602 (2024) already voids contracts allowing digital replicas without specific consent, and the proposed federal NO FAKES Act plus New York's fashion-worker and digital-replica rules point at a regime where any AI-generated human likeness in an ad requires a documented, consented, compensated real person of record. If the EU AI Act's synthetic-content labeling plus a mandatory 'synthetic model' disclosure on e-commerce imagery lands, brands may keep a signed human release in the chain for every campaign image.
Retailer or platform policy that bans undisclosed AI imagery and markets 'real bodies only' — Levi's 2023 backlash over AI models is the template, and a size-inclusivity or advertising-standards rule (UK ASA-style, or a Fashion Workers Act amendment) requiring that garment fit be shown on a real wearer would make human-shot editorial a paid brand signal rather than a cost line.
Fit modeling as a distinct judgment tier — verbal feedback on drape, seam pressure, and range of motion feeding pattern correction is a sensor-and-report function generative models cannot supply; if brands formalize fit-model panels with standardized measurement contracts, that tier is defensible.
The limit. Even with every lever, this stays low-to-mid: the modal deliverable is a still image, the surviving work concentrates into a small named-talent and fit-model tier, and 3,780 counted workers can shrink faster than any dimension rises. Disclosure law protects likeness rights, not the volume of bookings.
| Los Angeles-Long Beach-Anaheim, CA | 400 | $109,820 +127% |
| Chicago-Naperville-Elgin, IL-IN | 50 | $53,700 +11% |
| Rochester, NY | 50 | $208,000 +329% |
| Anchorage, AK | 40 | $81,520 +68% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 30 | $47,170 -3% |
| Rochester, NY | 50 | $208,000 +329% |
| Los Angeles-Long Beach-Anaheim, CA | 400 | $109,820 +127% |
| Anchorage, AK | 40 | $81,520 +68% |
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 31. 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.