EXPOSED
This is hands-on work — patching plaster molds, pouring and vibrating concrete, packing sand cores, trimming greenware, hand-finishing ceramic and stone pieces — and none of it is text or screen work that language AI touches. The real threat isn't AI at all: it's conventional automation, CNC mold machining, robotic pouring cells and offshoring of the high-volume tiers, which have been shrinking this occupation for decades. The modal worker follows established mold-prep and casting procedures rather than making consequential judgment calls, and no license or signature protects the role.
Part 2020 shock, part continued decline in the years since.
Median pay $34,030 → $46,170 +8.5% 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
+6.2%
Percentage only. The projection counts a different population from the 33,190 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 +6.2% 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.
~5,500 openings a year on average, including replacing people who leave.
BenderBlowerCarverCasterCutterGafferGlazerLoaderMolderPotterPourerRollerShaperDresserJollierModelerThrowerChiselerDemolderGathererLettererPolisherSmootherBow Maker
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier At 13 the work sits at the top of the mixed band because pouring slip, dressing mold seams, and judging when a casting has set enough to strip still require hands and a trained eye — but the repeatable high-volume tiers (identical concrete pavers, pressure-cast sanitaryware, investment shells) have already been handed to automatic pouring cells and shell-dip robots, which is what keeps it out of the 14+ range.
Hands-on in uncontrolled environments 14 reflects a shop floor rather than a wilderness: you are lifting flasks, ramming sand, running vibrating tables, handling hot wax and caustic slurries, and working around dust and heat, but it is your own plant with fixed stations and known equipment — not a 17-plus job like line repair where the environment changes every call.
No licence, no signature requirement 1 is near-floor because nothing in this trade requires a state licence or a personal sign-off — OSHA silica and respirator rules bind the employer, ASTM strength testing is done by the lab or the engineer of record, and a defective casting becomes the firm's warranty problem, not yours.
Executes defined procedures on defined inputs 6 puts this at the boundary of procedural work: you choose parting lines, gate placement, water-to-plaster ratios and pull times from experience, but those calls run against a shop's established mold spec and get corrected on the next pour rather than committing the employer to an irreversible high-stakes outcome.
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 (13/20 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 (1/20) 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 11 of this occupation's 38 points (29%).
Embodiment (14/20) 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.
Furniture Finishers EXPOSED
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 53/100, still EXPOSED.
As robotic pouring cells and CNC mold machining absorb the high-volume tier, the residual job concentrates in one-off, irregular, or repair work: architectural cast stone restoration, art-foundry investment casting, custom precast fixups on site, hand-patched plaster molds for short runs. This tier resists both AI and conventional automation because setups are non-repeating and defect diagnosis is tactile. Watch for shrinking headcount alongside rising median wage in NAICS 3272/3279 and art foundries — the signature of a judgment-tier remnant.
Buyer-side specification of handwork as the product: Secretary of the Interior Standards-compliant historic restoration contracts that require hand-modeled replacement of ornamental plaster/cast stone matching original tooling, and art-market provenance norms where a foundry's hand-finishing (chasing, patina) is part of the attributed work. This is real but narrow — it covers restoration and fine-art casting, not concrete products or industrial cores, so most of the 33,190 workers see no benefit.
Shift of remaining work toward field/site casting and restoration rather than plant floor: cast-stone patching on standing facades, on-site precast repair, kiln and mold repair in cramped existing structures. Unstructured, one-off geometry is far harder to robotize than a fixed pouring cell. Recognizable if historic-preservation and infrastructure-repair spending (e.g. IIJA-funded bridge and facade work) becomes a larger share of these jobs.
Formalized in-plant quality gates that name a person: ACI/PCI precast plant certification and ASTM C1611/C143 fresh-concrete acceptance testing already put mix-adjustment and reject/accept calls on identified certified technicians. If precast producers respond to structural-failure litigation by requiring a certified caster to record and own each pour's slump/air/temperature acceptance decision, the modal role picks up a documented consequential call.
Certification-not-license only: PCI Quality Control Personnel Level I/II or ACI Concrete Field Testing Technician being written into DOT and owner specifications as a named requirement for the person performing the test. This is a credential, not a personal-liability license, so the ceiling is low — it never becomes an engineer's seal.
The limit. The binding constraint here is not AI and no lever addresses it: CNC mold machining, robotic pouring, and offshoring have shrunk this occupation for decades and will continue regardless of what happens to language models. Every lever above raises the resistance score of the surviving job while the number of such jobs keeps falling — a smaller, harder-to-automate remnant, not a protected occupation. Realistic combined ceiling is the low 50s, and concrete-products and industrial-core work, the bulk of employment, is the tier least reachable by any of it.
| Los Angeles-Long Beach-Anaheim, CA | 970 | $47,640 +3% |
| Dallas-Fort Worth-Arlington, TX | 790 | $42,490 -8% |
| New York-Newark-Jersey City, NY-NJ | 750 | $45,410 -2% |
| Chicago-Naperville-Elgin, IL-IN | 720 | $46,650 +1% |
| Seattle-Tacoma-Bellevue, WA | 660 | $56,770 +23% |
| Riverside-San Bernardino-Ontario, CA | 590 | $47,370 +3% |
| Detroit-Warren-Dearborn, MI | 570 | $45,480 -1% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 570 | $46,480 +1% |
| Vineland, NJ | 150 | $68,490 +48% |
| Bozeman, MT | 50 | $61,010 +32% |
| San Jose-Sunnyvale-Santa Clara, CA | 130 | $60,130 +30% |
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 38. 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.