← Risk register SOC 51-7032 · reviewed 2026-08-11

Patternmakers, Wood

220 US workers · median $49,630/yr · Production

EXPOSED

Building wooden foundry patterns and core boxes — laying out shrinkage and draft allowances, cutting, gluing, sanding, and fitting parts until the pattern pulls clean from sand — is hands-on bench work that language models cannot touch. The real pressure is not chatbots but CAD/CAM, CNC routing, and 3D-printed sand molds, which have already absorbed the layout math and much of the shaping, and have shrunk the occupation to roughly 220 US workers. No license protects the work, and the customer buys a pattern, not a relationship.

10-year outlook: The craft skill stays hard to replace but the market keeps contracting as digital modeling and printed sand molds take more jobs; expect a few hundred highly skilled workers concentrated in repair, prototype, and hybrid digital-manual work.

US employment, 2019–2025-40.5%
370220 workers

Nearly all of this fall was the 2020 shock. It has been climbing back since.

Median pay $64,880 → $49,630 -38.8% in real terms (nominal -23.5%, 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

-5%

Percentage only. The projection counts a different population from the 220 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 -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.

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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 — 14 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.

Mold MakerForm BuilderPatternmakerPattern MakerPattern WorkerWood Die MakerWoodshop WorkerPattern EngineerWood PatternmakerMold Forms BuilderWood Pattern MakerWood Shop MoldmakerProduction PatternmakerWood Experimental Mechanic

Score — 44/100 resistance

Holding it up: embodiment (16/20). 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: 12 + 16 + 1 + 6 + 9 = 44. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 12/20

Mixed — a routine tier and a judgment tier At 12 the layout arithmetic — shrink rule scaling, draft angles, parting-line placement, core print sizing — is already solved by CAD and cut by a 3-axis router, but hand-fitting loose pieces, filleting with wax or leather, sealing and finishing until the pattern draws clean from green sand, and repairing worn production patterns still keep a body at the bench, which is why this sits mixed rather than down at 5.

Embodiment 16/20

Hands-on in uncontrolled environments 16 reflects a shop floor: table saw, band saw, lathe, shaper and belt sander, wood dust and lacquer fumes, clamping up glue joints on stock that moves with humidity, then carrying the pattern to the foundry to trial-pull it in sand and shim where it drags — none of it done sitting down.

Liability shield 1/20

No licence, no signature requirement 1 is right because nothing but a shop hire stands between you and the work: no state license, no journeyman card required, no stamp on the pattern, and if a casting comes out undersized the foundry eats the scrap and reorders the pattern.

Trust premium 6/20

Some relationship component 6 recognises that a foundry that has used you for twenty years knows you understand its sand, its ram density and its shrink habits and will call you rather than send the print to a CNC shop, but the purchase order is still for a pattern to a drawing, and a cheaper accurate pattern wins the next job.

Judgment & accountability 9/20

Meaningful discretion 9 covers the calls that are genuinely yours — where to split the pattern, how much draft a deep pocket needs, whether a feature comes as a loose piece or a core, how much extra machining stock to leave on a critical face — decided from foundry practice rather than a spec sheet, with the ceiling being that the pattern is proved or rejected at the first pour, not years later on someone's safety.

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, judgment

How to future-proof this job

Training paths for your skill gaps: Coursera — project coordination and cross-team delivery free to audit · Coursera — negotiation, influence and persuasion courses free to audit · Coursera — negotiation courses, audit free free to audit · Apprenticeship.gov — electrical, HVAC, plumbing and fitting programs that pay while you learn paid to train · Coursera — teaching and instructional design, audit free free to audit · Apprenticeship.gov — paid, employer-sponsored trade apprenticeships, searchable by trade and ZIP paid to train · MIT OpenCourseWare — circuits, systems and diagnostic method, free and ungated free

All 35 skills ranked by how many jobs they open →

Where this experience transfers — occupations you could move toward

Computed from U.S. Dept. of Labor O*NET skill and knowledge profiles: high overlap with what you already do, a materially higher resistance score, no large jump in required training, and no licence you would have to start a new pipeline to get. Targets that pay meaningfully less, that are themselves COOKED, or whose own headcount is falling are excluded — a move into a shrinking trade is not an escape.

Brickmasons and Blockmasons SAFE · 68/100 · you already have ~78% of the skill profile

Skills to close: Coordination, Persuasion, Negotiation

Sheet Metal Workers SAFE · 67/100 · you already have ~77% of the skill profile

Skills to close: Installation, Instructing, Repairing, Coordination

Riggers SAFE · 70/100 · you already have ~71% of the skill profile

Skills to close: Installation, Coordination, Repairing, Troubleshooting

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 57/100, still EXPOSED.

4 specific changes that would raise this score
  • already happening task resistance +4

    Task-mix shift: if CNC and 3D-printed sand absorb all new-build patterns, the residual job becomes repair, rework and reverse-engineering of legacy patterns with no CAD model — hand-fitting worn core boxes, correcting draft on patterns that stick, matching shrink on unrecorded alloys. That tier resists digitization because the input is a damaged physical object plus foundry-floor diagnosis. Visible already in jobbing foundries that keep one patternmaker for fixes rather than new work.

  • plausible trust premium +4

    Defense and nuclear-component castings where DFARS/NAVSEA supplier qualification and Q-1 audits name a qualified patternmaker in the approved process — the buyer is paying for a certified human-built and human-verified tooling chain, not for craft aesthetics. Also restoration/heritage casting (antique machinery, bell and architectural work, museum foundries) where provenance of hand pattern work is priced.

  • plausible judgment accountability +3

    If pattern shops formally own first-article and pull-test sign-off — deciding shrink factors, gating, and whether a pattern is releasable for a costly alloy pour — under a customer PPAP or AS9100 process, the consequential call under ambiguity sits with the patternmaker rather than the design engineer. Some captive aerospace foundries already assign tooling release this way.

  • plausible embodiment +2

    Already near ceiling; only a further concentration into on-site pattern repair inside the foundry (dusty, hot, non-fixtured, one-off geometry) would nudge it, as opposed to shop-bench new-build that a router can do.

The limit. With 220 US workers there is no professional body large enough to win a licensure regime, so liability_shield has no realistic route and is omitted. The headroom here is a smaller, more specialized occupation, not a protected one — the score can rise while the headcount keeps falling.

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.

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 44. 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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