← Risk register SOC 27-1012 · reviewed 2026-08-11

Craft Artists

4,580 US workers · median $46,080/yr · Media

EXPOSED

Throwing pots, weaving, setting stones, and finishing wood are hand skills in uncontrolled physical conditions that no current robot performs at craft quality, so the making itself is safe. The exposure is commercial, not manual: generative image tools flood the visual-design and pattern-ideation layer, product listings and marketing copy are already automated, and AI-assisted mass production undercuts the mid-price 'handmade-looking' market where most craft artists actually sell. Median income here is thin and often supplemented, so demand erosion bites harder than task automation.

10-year outlook: The hand-making survives intact, but the low-price handmade market keeps getting hollowed out by cheap AI-designed mass goods, pushing craft artists toward bespoke commissions, teaching, and provenance-driven direct sales.

US employment, 2019–2025-1.3%
4,6404,580 workers

Roughly flat across the period, with year-to-year wobble.

Median pay $34,710 → $46,080 +6.2% in real terms (nominal +32.8%, 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

+2.1%

Percentage only. The projection counts a different population from the 4,580 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 +2.1% more of these jobs by 2034, and at 55/100 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.

~1,000 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.

InkerArtistFramerArtisanColorerCopyistCrafterLuthierModelerOpaquerQuilterColoristCraftsmanGoldsmithToy MakerHand PotterHand-WeaverTaxidermistCalligrapherCandle MakerCraft WorkerFiber ArtistGlass ArtistGuitar Maker

Score — 55/100 resistance

Holding it up: embodiment (17/20). 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: 14 + 17 + 1 + 14 + 9 = 55. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 14/20

Tasks largely resist digitisation Centering clay, kiln-firing to a target cone, bezel-setting a cabochon, and hand-sanding a joint through grits are sequential physical judgments with no digital substitute, but the design sketching, pattern drafting, and Etsy listing work that fills the other half of the week is already being done by generative tools, which is what holds this at 14 rather than 18.

Embodiment 17/20

Hands-on in uncontrolled environments You work standing at a wheel, loom, bench, or bandsaw with variable material stock — wood that moves with humidity, clay that flops, stone with hidden fractures — and adapt mid-motion by feel; the 17 rather than 20 reflects that most of it happens in your own studio rather than on unpredictable jobsites.

Liability shield 1/20

No licence, no signature requirement There is no licence, board, or continuing-education requirement to sell hand-thrown mugs or silver rings, and the only statutory hooks are CPSIA lead limits on children's items and FTC country-of-origin labeling — neither of which requires a credentialed human, hence 1.

Trust premium 14/20

The human relationship is the product Repeat collectors, gallery reps, and craft-fair regulars buy your hand specifically — the maker's story and the fact that you touched the object is the price premium over an identical import — but a large share of sales are still one-off booth transactions with strangers, which keeps this at 14 instead of the high teens.

Judgment & accountability 9/20

Meaningful discretion You decide glaze combinations, price points, which commission to accept, and when a piece gets scrapped rather than sold — real discretion over your own reputation and inventory — but nobody else's money, safety, or legal position turns on those calls, so 9 rather than 14.

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, physical-presence

How to future-proof this job

Where to go deeper on what this job runs on: Coursera — critical thinking and logic, audit free free to audit · Khan Academy — reading and vocabulary, all levels, free free · Coursera — active listening and communication skills free to audit · Toastmasters — public speaking practice at local clubs worldwide low · edX — performance measurement and evaluation free to audit

All 35 skills ranked by how many jobs they open →

Where this experience transfers — nothing clears the bar

No occupation passed every test: close enough to craft artists 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:

Jewelers and Precious Stone and Metal Workers EXPOSED 54/100 (-1) · 80% overlap
Fine Artists, Including Painters, Sculptors, and Illustrators EXPOSED 43/100 (-12) · 70% overlap
Molders, Shapers, and Casters, Except Metal and Plastic EXPOSED 38/100 (-17) · 68% overlap

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.

What would move this occupation up is the other direction, and on this page it's the more useful one.

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 69/100 — SAFE.

5 specific changes that would raise this score
  • already happening task resistance +3

    Task-mix shift as the low-margin 'handmade-looking' tier is fully taken by AI-designed mass production: the surviving work concentrates in commission, restoration, one-off architectural/liturgical, and gallery pieces where the client is buying an irreplicable object and iterative in-person judgment. This raises the score for the remaining population while shrinking that population — a narrower, more resistant occupation.

  • plausible trust premium +4

    Enforceable provenance labeling for handmade goods — e.g. FTC action against 'handmade' claims on AI-designed/machine-produced items, or Etsy actually enforcing (and auditing) its handmade policy with seller verification and AI-disclosure tags. A verified 'made by a named human hand' mark that buyers can check turns the current soft preference into a price-supported one. Precedent: EU AI Act Art. 50 disclosure norms, and existing Indian Arts and Crafts Act of 1990, which criminalizes falsely marketing goods as Native-made and demonstrably sustains price premiums for certified makers.

  • plausible judgment accountability +3

    Growth of commission and conservation work where the artist owns irreversible material decisions on a client's valuable object (repair of an heirloom, stone-setting on a customer's diamond, restoration of a historic fitting) and carries the loss if it goes wrong. Jewelers already work under bailment liability for customer-supplied stones; more of the surviving work being of this type raises consequence-ownership.

  • plausible trust premium +2

    Extension of state-level authenticity certification beyond Native craft — e.g. a state 'certified handmade' registry tied to craft-fair juried admission, or American Craft Council / Craft Emergency Relief Fund adopting a maker-verified mark that galleries and high-end fairs require for booth eligibility.

  • unlikely liability shield +2

    Narrow route only: state jeweler/precious-metals licensing and assay or metal-content certification requirements, and CPSC children's-product testing where a named maker must certify lead/phthalate compliance. This applies to a minority of craft artists and would not lift the occupation-wide score much.

The limit. The binding constraint is demand, not capability — embodiment is already near-max and the making was never the exposed part. Even a fully enforced handmade label protects price, not volume; a smaller number of makers selling at higher margin scores better on this register while the occupation contracts. There is no realistic route to a meaningful liability shield across the occupation as a whole.

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 8 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

Detroit-Warren-Dearborn, MI 190 $25,960 -44%
Portland-Vancouver-Hillsboro, OR-WA 130 $51,060 +11%
Los Angeles-Long Beach-Anaheim, CA 110 $100,410 +118%
Chicago-Naperville-Elgin, IL-IN 100 $49,200 +7%
Orlando-Kissimmee-Sanford, FL 60 $47,670 +3%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 60 $49,290 +7%
Cleveland, OH 50 $43,040 -7%
Cincinnati, OH-KY-IN 40 $32,830 -29%

Best paid

Los Angeles-Long Beach-Anaheim, CA 110 $100,410 +118%
Portland-Vancouver-Hillsboro, OR-WA 130 $51,060 +11%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 60 $49,290 +7%

Percentages are against this occupation's national median of $46,080. 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 55. 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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Kept current

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