COOKED
The modal worker here is a mid-level production artist doing in-betweening, rotoscoping, rig cleanup, background painting, texture and matte work, motion-graphics templates, and iterating on client notes — exactly the pixel-generation and interpolation work that diffusion models, AI rotoscope tools, and generative video are absorbing fastest. What persists is art direction, shot-level creative judgment, technical pipeline and rigging engineering, and the client-facing accountability for whether a sequence reads emotionally — but that tier is small relative to the production headcount it currently supports. No license, no signature, no physical site work to slow the substitution.
This fall is concentrated in 2020 and has not recovered since.
Median pay $75,270 → $102,030 +8.4% 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
+1.6%
Percentage only. The projection counts a different population from the 19,970 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +1.6% more of these jobs by 2034. Demand for the output is growing faster than the work is being automated away — the mechanism BLS gives for software developers, and the combination people most often misread as an error.
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.
~5,000 openings a year on average, including replacing people who leave.
ArtistAnimatorGame ArtistAnime ArtistAnime DesignerCartoon ArtistConcept ArtistDigital ArtistGame DeveloperGraphic ArtistMedia DesignerMedia ProducerTexture ArtistComputer ArtistMotion DesignerStudio DesignerVisual DesignerAnimation ArtistCartoon AnimatorContent ProducerDigital DesignerMedia SpecialistCreative DesignerMultimedia Artist
Holding it up: judgment & accountability . Weakest point: liability shield .
Core tasks are already automatable In-betweening, roto/paint, matchmove cleanup, matte extraction, texture tiling and lower-third motion templates are frame-level interpolation and inpainting problems that Runway/Firefly-class tools and AI roto in Nuke/After Effects already do at draft quality, so most of a production artist's billable hours sit in the 0-6 band rather than the 7-13 band where sim rigging or procedural pipeline TD work would put it.
Fully desk- and screen-based The job is a Wacom, a keyboard and a color-calibrated monitor; the only physical component is occasional on-set data wrangling or reference/plate acquisition, and most artists never leave the workstation, which is why this is a 2 and not a 5.
No licence, no signature requirement There is no license, no board, no signature block — a shot is approved by a supervisor and the studio's E&O policy covers the delivery, so nothing legally requires a credentialed human to have made the pixels.
Meaningful discretion You decide how a sim reads, how much motion blur sells the plate, where to cheat silhouette for the camera — genuine discretion inside a shot — but the brief, the boards, the timing and the final yes belong to the VFX supervisor and the director, which caps this at the low end of the discretion band.
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 (6/20 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 (6/20) is whether buyers specifically pay for a person. Judgment and accountability (8/20) 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 15 of this occupation's 23 points (65%).
Embodiment (2/20) 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.
Art Directors EXPOSED
Computer Occupations, All Other EXPOSED
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 41/100 — EXPOSED.
Task-mix shift: once in-betweening, roto, cleanup and template motion-graphics are absorbed, the surviving job is shot-level art direction, look development, rig/pipeline engineering and note-driven fixing of generative output that is nearly-right-but-wrong. This raises the score for whoever remains while cutting headcount — watch for studio job postings collapsing 'animator' into 'generative supervisor / lookdev TD' with roto and paint outsourced to tools.
Awards and festival eligibility rules that require declared human authorship — Academy's animated feature branch, Annecy, or Emmy craft categories adopting explicit AI-disclosure/eligibility limits, following the Academy's 2025 statement that AI use is considered in voting. Prestige-tier and auteur animation (Ghibli-style, stop-motion adjacent, A24/Cartoon Saloon commissions) marketed as hand-crafted sustains a paid human premium at the top, though not for commercial/ad motion graphics.
E&O insurers and studio legal already demand chain-of-title attestations; if carriers require a named human artist to attest per-asset that delivered frames are human-authored or cleared (driven by US Copyright Office human-authorship doctrine and Thaler v. Perlmutter, plus copyright exposure on training data), a designated artist/supervisor becomes a signing party on delivery. Not a license, but a personal signature with consequences.
Animation Guild (TAG, IATSE Local 839) contract language from the 2024–25 negotiation being enforced or extended: notice/consent requirements before AI replaces covered work, bans on training on member work without consent, and minimum staffing on covered productions. A signatory-studio staffing floor is the only mechanism that makes a human specifically required rather than merely preferred.
Consolidation of sign-off into fewer supervisor roles that own whether a sequence reads emotionally and whether generative output is legally and technically deliverable — including C2PA/provenance manifests signed at delivery for broadcasters and platforms with AI-disclosure rules.
The limit. Even with every lever, this stays a low-to-mid score occupation: the gains concentrate in a small supervisory tier while the modal production-artist headcount that defines the SOC shrinks. Guild and awards mechanisms protect prestige feature/TV animation, not the commercial motion-graphics and ad work where most of the volume is, and there is no licensure route anyone is proposing.
| Los Angeles-Long Beach-Anaheim, CA | 4,650 | $124,590 +22% |
| New York-Newark-Jersey City, NY-NJ | 1,560 | $96,760 -5% |
| San Francisco-Oakland-Fremont, CA | 1,440 | $136,770 +34% |
| Seattle-Tacoma-Bellevue, WA | 1,030 | $134,120 +31% |
| Orlando-Kissimmee-Sanford, FL | 960 | $91,150 -11% |
| Portland-Vancouver-Hillsboro, OR-WA | 690 | — |
| Chicago-Naperville-Elgin, IL-IN | 550 | $83,200 -18% |
| San Jose-Sunnyvale-Santa Clara, CA | 510 | $156,950 +54% |
| San Jose-Sunnyvale-Santa Clara, CA | 510 | $156,950 +54% |
| San Francisco-Oakland-Fremont, CA | 1,440 | $136,770 +34% |
| Seattle-Tacoma-Bellevue, WA | 1,030 | $134,120 +31% |
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 23. 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.