EXPOSED
Ramming sand into flasks, setting cores, patching mold defects, and pulling castings in a hot, dusty, uncontrolled shop floor is work language AI cannot touch — the threat here is automated molding lines and robotic core blowers, which high-volume foundries have already installed. The modal worker operates and tends machines rather than hand-building molds, and that machine-tending tier is exactly what integrated automatic molding cells eliminate; the surviving niche is large, low-volume, or complex hand-molded work in jobbing foundries. No license, no signature, no client relationship provides cover.
This fall is concentrated in 2020 and has not recovered since.
Median pay $35,590 → $48,110 +8.1% in real terms
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
-25.9% 12,700 → 9,400 on the projections basis
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -25.9% 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.
~900 openings a year on average, including replacing people who leave.
MolderCoremakerCore BakerCore DrierCore MakerCore PilerDry MolderMold MakerBond RunnerCore PasterCore SetterHand FormerMold CapperMold CloserSand CutterSand MolderCore RescuerCore StackerCore StickerSweep MolderAirset CasterAirset MolderCore StripperMold Finisher
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Hand-ramming a 500-lb cope, setting fragile shell cores by feel, venting and slicking the mold face, then chasing a scab or a run-out after the shakeout are all sequences that need a person reading sand strength and pattern draft in real time — 14 rather than 18 because the sand mixing, blowing, and mold closing steps that eat most of the shift on a Disamatic or automatic flaskless line are already running unattended.
Hands-on in uncontrolled environments You are on a hot floor swinging pneumatic rammers, lifting flasks and core boxes, brushing on refractory wash, and working near a pouring stream where sand and silica dust are the ambient condition — 16 not 20 because the pattern, flask, and sand system are fixed shop fixtures rather than a new uncontrolled site each day.
No licence, no signature requirement There is no state license, no stamped certificate, and no personal sign-off on a mold; when a casting scraps out or a mold breaks under pour, the foundry eats the scrap cost and the quality department owns the disposition, so the 2 reflects only OSHA respirable-crystalline-silica and molten-metal PPE duties that attach to the employer, not to you.
Executes defined procedures on defined inputs Sand compactability targets, core setting sequence, gating and riser placement, and pour temperature come off the process sheet and the pattern design, so your calls are limited to reading when sand is too dry, when a mold needs a repair versus a rebuild, and when to reject before pouring — real skill, but bounded by a written spec, which is what puts this at 6 and not 10.
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.
Your task mix speaks to task resistance (14/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (2/20) is whether the law requires a licensed human to sign. Trust premium (4/20) is whether buyers specifically pay for a person. Judgment and accountability (6/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 12 of this occupation's 42 points (29%).
Embodiment (16/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
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.
Task-mix shift as automatic molding cells (DISA, Sinto, Hunter) absorb the high-volume flask work: what remains in jobbing foundries is one-off large-mold hand ramming, no-bake pit molding, core assembly for complex internal passages, and defect patching on unique patterns — none of which pays back cell tooling at lot sizes of 1-20. If the automatable tier leaves the occupation rather than the occupation leaving the industry, the residual job is judgment-tier hand molding.
Narrow and real only in art and architectural casting: bronze sculpture, bell founding, historic-ironwork restoration, and Secretary of the Interior Standards restoration work, where buyers and preservation boards specifically commission hand-built molds from a named foundry. This does not extend to industrial castings, where buyers pay for dimensional conformance and nothing else.
Extension of process-personnel qualification into molding itself: NADCAP AC7004/AC7118 casting audits, ASME Boiler & Pressure Vessel Section III and NAVSEA/NR-1 requirements for nuclear and naval castings, and DFARS 252.225-7009 specialty-metals sourcing already push named, qualified, records-traceable operators for safety-critical pours. A specification change requiring an individually qualified molder of record to sign the mold-build traveler for Class 1 nuclear or submarine castings — as welders already sign WPS-qualified joints — would create a personal-signature tier.
On single-shot large castings, the molder's call on sand compaction, vent adequacy, core-print fit and whether to pour or rebuild is the last decision before six-figure metal is committed and cannot be undone. If jobbing foundries formalize that call as a documented pre-pour mold release held by the molder — rather than the metallurgist or supervisor — the accountability moves into the role.
If the surviving work concentrates in pit and floor molding of multi-ton castings — climbing into and around uncaged molds, feeling sand compaction by hand, setting chaplets and cores by eye in a space no fixed robot cell encloses — the physical unpredictability of the remaining task rises rather than falls.
The limit. Even with every lever, this stays a production occupation with no license, no client of record, and 12,790 workers concentrated in a shrinking domestic foundry base; the levers protect a residual niche of jobbing and art foundries, not the headcount. Realistic ceiling around 60, and the path there involves the occupation getting smaller, not safer.
| Milwaukee-Waukesha, WI | 400 | $46,200 -4% |
| Allentown-Bethlehem-Easton, PA-NJ | 340 | $43,440 -10% |
| Cleveland, OH | 330 | $49,040 +2% |
| New York-Newark-Jersey City, NY-NJ | 320 | $55,210 +15% |
| Los Angeles-Long Beach-Anaheim, CA | 240 | $47,440 -1% |
| Detroit-Warren-Dearborn, MI | 230 | $45,610 -5% |
| Portland-Vancouver-Hillsboro, OR-WA | 230 | $67,060 +39% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 210 | $57,630 +20% |
| Portland-Vancouver-Hillsboro, OR-WA | 230 | $67,060 +39% |
| Seattle-Tacoma-Bellevue, WA | 60 | $58,090 +21% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 210 | $57,630 +20% |
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.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.