← Risk register SOC 51-4062 · reviewed 2026-08-11

Patternmakers, Metal and Plastic

1,470 US workers · median $58,000/yr · Production

EXPOSED

The hands-on core — laying out, machining, fitting, and hand-finishing wood, metal, and plastic patterns and core boxes to shrinkage and draft allowances — is skilled physical work that AI and current robotics cannot replicate. The exposure is upstream and structural: pattern geometry, shrink factors, and gating layout increasingly come out of CAD/CAM and solidification simulation, and additive manufacturing plus printed sand molds bypass the physical pattern entirely. This occupation isn't being automated task-by-task so much as engineered around, and at 1,470 US jobs the shrinkage is already far along.

10-year outlook: Employment keeps eroding as printed sand molds and direct CAM take over new work, leaving a small, well-paid remnant doing repair, legacy patterns, and prove-out for foundries.

US employment, 2019–2025-51.2%
3,0101,470 workers

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

Median pay $46,910 → $58,000 -1.1% in real terms (nominal +23.6%, 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

-24.4% 1,600 → 1,200 on the projections basis

Exposed, and shrinking

Both signals point the same way: the tasks are largely automatable and the BLS projects -24.4% 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.

~100 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.

LoftsmanWax MolderMold ToolerChart WriterPatternmakerDie InspectorPattern MakerStencil MakerDie TechnicianPattern CutterPattern FitterPattern WorkerStencil CutterTemplate MakerFixture BuilderPattern CheckerPattern MechanicLayout TechnicianPattern DeveloperPattern ScratcherDie Cast Die MakerMetal PatternmakerMetal Pattern MakerSample Patternmaker

Score — 42/100 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 + 5 + 8 = 42. · 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 split is real: CAD-driven CNC and 3D-printed cores have taken over the layout math, shrink scaling, and roughing that used to be your bench work, but chaplet placement, matchplate fitting, draft correction after a foundry rejects a casting, and hand-rubbing a pattern to a finish still need someone at the bench with a rasp and a straightedge — that's why it isn't 6, and why it isn't 16 either.

Embodiment 16/20

Hands-on in uncontrolled environments 16 reflects that you work inside a foundry pattern shop: mill and lathe setups, band saw and router work, lifting and clamping half-patterns and core boxes, checking parting lines against a plate by feel, and troubleshooting on the foundry floor where sand, heat, and a live mold line are the environment — not a fixture-controlled cell a robot can be taught once.

Liability shield 1/20

No licence, no signature requirement 1 because nothing in the pattern shop requires a licence — no state board, no stamped drawing, no certification a customer must see; the foundry's engineer or the casting buyer's spec owns the consequences if a shrink allowance is wrong, and your protection is your reputation and your journeyman background, neither of which is a legal barrier to anyone replacing you.

Trust premium 5/20

Anonymous artifact production 5 because the pattern ships to a foundry and the casting is what the customer sees — a purchasing agent choosing between your shop and a printed-sand vendor is comparing lead time, tolerance, and price, and while a long-running foundry relationship earns you the tricky jobs and repeat rigging work, it does not survive the customer deciding not to buy a pattern at all.

Judgment & accountability 8/20

Meaningful discretion 8 fits because you make consequential calls that aren't in a procedure — how much extra stock to leave for machining, where to break a pattern for draw, whether a section will trap sand — but you make them against established shrink tables, industry allowances, and a print someone else approved, so the ambiguity is bounded and the expensive decisions about alloy and casting design sit upstream of your bench.

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: 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 · Apprenticeship.gov — industrial maintenance and millwright programs paid to train · Coursera — customer service and client-facing skill courses free to audit · MIT OpenCourseWare — finance and accounting 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.

Welders, Cutters, Solderers, and Brazers EXPOSED · 62/100 · you already have ~82% of the skill profile

Refractory Materials Repairers, Except Brickmasons EXPOSED · 65/100 · you already have ~77% of the skill profile

Skills to close: Repairing, Troubleshooting, Equipment Maintenance

Automotive Body and Related Repairers EXPOSED · 65/100 · you already have ~74% of the skill profile

Skills to close: Repairing, Service Orientation, Troubleshooting, Management of Financial Resources

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.

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

    Task-mix shift as CAD/CAM and printed sand molds absorb the routine new-pattern work, leaving the residual job as repair, rework and reverse-engineering of legacy patterns with no digital model — hand-fitting worn core boxes, correcting castings that came out of tolerance, and salvaging tooling for obsolete parts where scanning plus print is uneconomic at lot size one. Watch for shop advertising shifting from 'pattern fabrication' to 'tooling repair and reverse engineering'.

  • plausible judgment accountability +3

    Where the patternmaker becomes the person who owns shrink, draft and gating calls that simulation flags ambiguously — signing off on first-article tooling before a five-figure casting run — the role absorbs consequential-call ownership formerly held by a foundry engineer. Recognisable as patternmakers named on AS9100/PPAP first-article approval records rather than only as fabricators.

  • plausible embodiment +2

    If defense and nuclear-component casting reshoring (DPA Title III foundry grants, Navy submarine industrial base castings funding) sustains demand for large, one-off match plates and core boxes in materials and sizes outside printed-sand build envelopes, the surviving work is disproportionately the unpredictable hand-fitting tier.

  • plausible trust premium +2

    Narrow route only: restoration and heritage casting (architectural ironwork, historic machinery, art foundry) where clients specify hand-carved wood patterns as part of the commission. Real but tiny, and cannot absorb the industrial workforce.

The limit. No plausible liability route: patternmaking is unlicensed and liability sits with the foundry and design engineer, not the patternmaker. And no lever addresses the core problem — the occupation is shrinking because the artifact itself is being bypassed by printed sand and additive tooling, not because tasks are being automated. Higher scores here would describe a smaller, more defensible remnant, not a stable occupation.

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 5 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

Milwaukee-Waukesha, WI 110 $49,070 -15%
Detroit-Warren-Dearborn, MI 100 $48,790 -16%
Birmingham, AL 70 $62,390 +8%
Minneapolis-St. Paul-Bloomington, MN-WI 50 $74,900 +29%
Allentown-Bethlehem-Easton, PA-NJ 40 $54,980 -5%

Best paid

Minneapolis-St. Paul-Bloomington, MN-WI 50 $74,900 +29%
Birmingham, AL 70 $62,390 +8%
Allentown-Bethlehem-Easton, PA-NJ 40 $54,980 -5%

Percentages are against this occupation's national median of $58,000. 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 42. 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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