Will AI replace Artists and Related Workers, All Other? EXPOSED

EXPOSED

This is a residual catch-all — muralists, installation artists, storyboard and concept people, sketch artists, and other creators who don't fit the fine-artist, illustrator, or designer buckets. Generative image models have already absorbed the bulk of speculative concept work, mood boards, style variations, and reference-driven visual output that used to be paid hours. What survives is work with a physical result in a real space, a commissioning relationship where the buyer wants that specific person's hand, and projects where authorship and provenance are the point.

10-year outlook: By 2035 the flat-image portion of this work is largely absorbed by generative tools, and the remaining paid roles cluster around physical fabrication, site-specific commissions, and named-authorship projects.

37/100 risk resistance · ±3 on re-score

US employment, 2019–2025-8.2%

7,5506,930 workers

Part 2020 shock, part continued decline in the years since.

Median pay $64,490 → $71,240 -11.6% in real terms (nominal +10.5%, less ~25% US inflation over the period)

The job count is not the verdict

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

+0.8%

Percentage only. The projection counts a different population from the 6,930 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 +0.8% 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.

~1,200 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 24 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

FramerColorerCopyistColoristDesignerVisualizerAutographerTaxidermistCalligrapherIvory CarverArt AppraiserChina PainterFrame StylistMusic GrapherTattoo ArtistVisual ArtistArt ConsultantCeramic ArtistFlag DecoratorPicture CopyistCommercial ArtistCreative DesignerInker and OpaquerMemorial Designer

This is a catch-all code, not a single job

The BLS uses Artists and Related Workers, All Other for work that doesn't fit any named occupation, so it covers roles that have little in common with each other. Two consequences worth knowing before you read anything below:

The score is an average over dissimilar work. Your own role could sit well above or below it, and the five dimensions describe the bucket rather than any one job inside it.
We've withheld the transfer routes here. They are computed from skill-profile overlap, and a bucket's profile is an average of unrelated jobs — which produces confident-looking matches that are meaningless. Better to show none than to point someone at the wrong career.

If a more specific occupation on the register describes what you actually do, that page is the one to trust.

Score — 37/100 resistance

Holding it up: trust premium (10/20). Weakest point: liability shield (1/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 8 + 9 + 1 + 10 + 9 = 37. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 8/20

Mixed — a routine tier and a judgment tier Concept boards, style frames, character variants, and reference-driven sketch passes — the bread-and-butter billable hours in this bucket — are now produced in minutes by prompt-and-iterate tools, which is what pulls this to 8; the physical build-out of a mural, a site-specific installation, or a hand-drawn courtroom sketch under a no-cameras order still can't be prompted, which keeps it out of the 0-6 floor.

Embodiment 9/20

Some physical or field component A muralist on a lift working a wall in weather, or an installation artist rigging into a gallery ceiling, is genuinely uncontrolled-environment labour — but a large share of this SOC works digitally at a tablet delivering files, so the 9 is the average of two very different working days rather than a description of either.

Liability shield 1/20

No licence, no signature requirement There is no licence, board, or statutory registration to make art in the United States; a commissioning contract and maybe a scaffolding permit are the only formal gates, so nothing stands between your rate and a client who decides a model output is good enough.

Trust premium 10/20

Some relationship component Commissions come through curators, art directors, and repeat clients who chose you off a body of work and want your hand specifically, which is real relationship value — but most engagements are project-scoped and end on delivery rather than becoming an ongoing advisory tie, so this sits at 10 rather than in the teens.

Judgment & accountability 9/20

Meaningful discretion You make real interpretive calls — how to read a brief, what a site can carry, how far to push a client's uncomfortable idea — but the stakes are aesthetic and reputational, not safety or money-at-risk, and a rejected concept means a revision round, which is why this lands at 9 and not higher.

Confidence: medium · reviewed 2026-08-11 · how scoring works

How to future-proof this job

Shift revenue toward physical output AI cannot deliver — murals, installations, fabricated objects — and price the site work, permits, and scaffolding as part of the job.
Build direct commission relationships where the buyer is paying for your authorship, not an image file: named provenance, documented process, signed originals.
Take the art-direction seat on projects: use generative tools yourself to produce ten options fast, then own the selection, revision, and final approval that clients still pay a human to defend.
Move into public art and civic commissions, where procurement requires a named artist, community engagement sessions, and accountability for installed work.

All 35 skills ranked by how many jobs they open →

What would move this back up — beyond any one person

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 52/100, still EXPOSED.

5 specific changes that would raise this score

already happening trust premium +4

Human-authorship certification becoming a contract requirement: the Animation Guild (TAG) 2024 MOA language on GenAI, SAG-style 'human-created' credit clauses, and gallery/biennial submission rules requiring declared no-AI provenance. If commissioning bodies (public art percent-for-art programs, museum acquisition committees) add enforceable human-authorship attestations, buyers are explicitly paying for the person's hand.
already happening embodiment +4

Task-mix shift toward physically sited work — murals, installation fabrication, scenic and set painting, live sketch — as flat digital deliverables get absorbed. Also municipal mural programs and site-specific commissions that require on-wall execution, scaffolding, surface prep and community presence.
already happening task resistance +3

Genuine two-tier structure: the routine tier (mood boards, style variations, reference comps, speculative concept passes) is being automated, leaving negotiation with a client about meaning, site constraints, materials, and iteration in physical media. As the routine tier disappears from paid hours, the remaining measured job is the judgment tier.
plausible judgment accountability +3

Provenance and clearance ownership: if platforms and clients adopt C2PA/Content Credentials and the US Copyright Office's human-authorship registration standard hardens (post-Thaler), the named artist becomes the party attesting the work is registrable and non-infringing — a consequential call under ambiguity with commercial exposure.
unlikely liability shield +1

Not a licensed occupation and no board is plausibly forming. The closest real mechanism is indemnity in commission contracts and public-art safety permitting (engineer sign-off for large installations) — but that liability sits with the engineer or contractor, not the artist.

The limit. This is a residual SOC bucket, so scores average across muralists (embodied, defensible) and storyboard/concept workers (already largely displaced). No licensure route exists, which caps the total well below craft-with-a-board occupations; realistic ceiling is in the low 50s, driven almost entirely by physical siting and named-authorship demand rather than by any legal moat.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 19 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

Washington-Arlington-Alexandria, DC-VA-MD-WV	1,410	$125,050 +76%
New York-Newark-Jersey City, NY-NJ	840	—
Los Angeles-Long Beach-Anaheim, CA	370	$48,760 -32%
Atlanta-Sandy Springs-Roswell, GA	320	$122,570 +72%
Salt Lake City-Murray, UT	170	$43,190 -39%
Baltimore-Columbia-Towson, MD	100	$132,620 +86%
Portland-Vancouver-Hillsboro, OR-WA	90	$80,640 +13%
Dallas-Fort Worth-Arlington, TX	80	$67,240 -6%

Best paid

Baltimore-Columbia-Towson, MD	100	$132,620 +86%
Washington-Arlington-Alexandria, DC-VA-MD-WV	1,410	$125,050 +76%
Atlanta-Sandy Springs-Roswell, GA	320	$122,570 +72%

Percentages are against this occupation's national median of $71,240. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this — nobody, on the record

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 37. 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.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

Watch this verdict

Kept current

The dispatch runs daily. 711 reported cases on file, 357 of them things a named organisation actually did. Newest landed yesterday. See it · RSS
Scores move on evidence, not on a clock. Re-scoring the same occupation drifts a couple of points on its own, so a scheduled refresh would mostly republish our own noise. An occupation is re-examined when deployments accumulate against it — which is why a verdict changing here means something. Last register revision 2026-08-11.
Employment updates once a year, when the BLS publishes. Every occupation carries its own 2019–2025 series.

Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.

Cooked Index — Artists and Related Workers, All Other: EXPOSED, 37/100.
Scored 2026-08-11 · printed from https://cookedindex.com/jobs/artists-and-related-workers-all-other/
Verdicts are re-examined as evidence accumulates, so this sheet goes out of date. Check the page above for the current score, the reasoning behind each dimension, and what would move it.

Artists and Related Workers, All Other