← Risk register SOC 27-1029 · reviewed 2026-08-11

Designers, All Other

9,480 US workers · median $64,950/yr · Media

EXPOSED

This is a catch-all bucket — exhibit designers, lighting and set designers, textile and pattern designers, packaging and display designers — and the modal worker spends most hours on screen-based concepting, rendering, layout iteration and spec documentation, all of which generative image and CAD-assist tools now do at usable quality. What holds is the physical half: walking a gallery or trade-show floor, checking sightlines and materials in person, and coordinating fabricators and installers. There is no license, so nothing legally requires a human to sign the design.

10-year outlook: Concept and rendering hours collapse over the next decade while the surviving work concentrates in specifiers, installers, and client-facing project leads — expect fewer seats and a sharper split between screen designers and those who own the physical build.

US employment, 2019–2025-10.7%
10,6109,480 workers

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

Median pay $64,620 → $64,950 -19.6% in real terms (nominal +0.5%, 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

+2%

Percentage only. The projection counts a different population from the 9,480 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 +2% 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.

~2,200 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.

ColorerCopyistColoristDesignerVisualizerHome StagerTaxidermistFood StylistIvory CarverChina PainterFrame StylistGame DesignerMusic GrapherSpace PlannerFlag DecoratorPicture CopyistTattoo DesignerDigital DesignerCreative DesignerInker and OpaquerMemorial DesignerMusic AutographerPlumbing DesignerProduction Designer

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

The BLS uses Designers, 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:

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

Score — 35/100 resistance

Holding it up: judgment & accountability (9/20). Weakest point: liability shield (2/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 8 + 8 + 2 + 8 + 9 = 35. · 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 sketching, mood boards, colourway variants, CAD elevations and cut-sheet specs — the bulk of billable hours for an exhibit or textile designer — are now produced at usable quality by generative and parametric tools, which is why this sits at 8 rather than mid-teens; what keeps it off the floor is material selection you can only judge by handling a swatch or a laminate sample and fabricator back-and-forth over what can actually be built.

Embodiment 8/20

Some physical or field component An 8 reflects that the physical work is real but episodic: site surveys, sightline checks in a gallery, focusing a lighting rig, mock-up reviews and press-check approvals happen in bursts around a load-in or trade-show install date, while the weeks between are desk-bound — not the daily uncontrolled-site exposure of the trades who execute the drawings.

Liability shield 2/20

No licence, no signature requirement There is no state license or protected title for exhibit, set, textile or packaging design; ADA clearances, egress and fire-rating on a built exhibit get stamped by an architect or licensed engineer, and product safety sign-off lands on the manufacturer, so nothing in the paper trail requires your name.

Trust premium 8/20

Some relationship component An 8 recognises that repeat clients — a museum's exhibits department, a brand's packaging group, a producer who rehires you across shows — hire you partly on the working relationship and your sense of their house style, but the sale is still the portfolio and the deck, and procurement routinely rebids the work or hands your files to a cheaper studio.

Judgment & accountability 9/20

Meaningful discretion You own real calls — how a visitor is routed through an exhibit, whether a fabric repeat reads at production scale, what a lighting cue does to a scene — but those decisions get reviewed by a curator, art director or producer before spend is committed, and a wrong one costs a reprint or a rebuild rather than anyone's safety or a legal exposure, which places it at 9 rather than the mid-teens.

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

What this job involves — and which parts are yours

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.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: embodiment, trust

How to future-proof this job

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 54/100, still EXPOSED.

5 specific changes that would raise this score
  • already happening embodiment +5

    Task-mix shift toward on-site work: if concepting and rendering hours collapse to generative tools, the residual job becomes site survey, mockup review, materials sign-off, sightline and load-in checks, and fabricator supervision on gallery/trade-show floors. Exhibit and set designers whose contracts already bundle installation supervision (IATSE-covered scenic work, museum fabrication contracts) would sit almost entirely in this tier.

  • already happening task resistance +4

    Genuine two-tier structure: routine tier (pattern grading, packaging dielines, layout variants, spec sheets) automates; judgment tier (curatorial narrative for an exhibit, ADA and egress-aware visitor flow, material behavior under stage lighting, fabrication tolerance calls) remains. Score rises only in the sense that the remaining hours are the hard ones — headcount falls at the same time.

  • plausible trust premium +4

    Provenance requirements in commissioned art and museum contexts: if funders (NEA/NEH grant terms, IMLS museum grants) or juried design competitions require disclosure and human-authorship attestation for commissioned exhibit and scenic design, and textile/pattern buyers demand human-authored provenance to avoid the copyright unregistrability of AI-generated work established in Thaler v. Perlmutter, buyers begin paying specifically for a documented human designer.

  • plausible liability shield +3

    Code-driven sign-off creeping into exhibit and set work: NFPA 101 / IBC assembly-occupancy egress and flame-spread requirements for temporary exhibits, and Section 508/ADA accessibility review for museum interpretive design, are increasingly required to be stamped by a licensed architect or engineer. If venue insurers or municipal permit offices begin requiring a named design professional of record on temporary exhibit and scenic packages, the designer coordinating that stamp gains a thin shield — full liability accrues to the architect/PE, not the designer.

  • plausible judgment accountability +3

    Named responsibility on high-consequence installations: if standard contracts for large trade-show and museum builds name a single designer accountable for structural, crowd-flow and material-safety decisions with insurer-backed E&O requirements, the role owns consequential calls rather than delivering deliverables.

The limit. Even with every lever, this bucket likely tops out in the 50s. There is no licensure body for exhibit, set, textile or packaging design and none is organizing to create one, so the liability shield stays thin and borrowed from architects and engineers. The screen-based half of the work — the majority of hours for the modal worker — has no protective mechanism at all. Levers here concentrate value in fewer on-site senior roles rather than protecting the 9,480 headcount.

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 31 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

Los Angeles-Long Beach-Anaheim, CA 1,970 $58,930 -9%
New York-Newark-Jersey City, NY-NJ 1,260 $82,170 +27%
Atlanta-Sandy Springs-Roswell, GA 580 $58,560 -10%
San Francisco-Oakland-Fremont, CA 320 $103,040 +59%
Seattle-Tacoma-Bellevue, WA 250 $61,670 -5%
Portland-Vancouver-Hillsboro, OR-WA 200 $70,790 +9%
San Jose-Sunnyvale-Santa Clara, CA 160 $129,110 +99%
Baltimore-Columbia-Towson, MD 140 $69,100 +6%

Best paid

San Jose-Sunnyvale-Santa Clara, CA 160 $129,110 +99%
San Francisco-Oakland-Fremont, CA 320 $103,040 +59%
Nashville-Davidson--Murfreesboro--Franklin, TN 120 $85,280 +31%

Percentages are against this occupation's national median of $64,950. 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 35. 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.

File a field report

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.

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