EXPOSED
The calculation half of this job — reading blueprints, computing dimensions, developing flat patterns and nesting layouts — is exactly what CAD/CAM and automated nesting software already do, which is why this occupation has shrunk to under 6,000 workers. What survives is physical: scribing and punch-marking reference lines on real stock, building templates, and catching the mismatch between the drawing and the warped or mis-sized plate actually sitting on the table. The modal worker in a fab shop is protected by hands and eyes on metal, not by any credential or client relationship.
Part 2020 shock, part continued decline in the years since.
Median pay $49,940 → $63,870 +2.3% 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
-5.4% 5,700 → 5,400 on the projections basis
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -5.4% 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.
~500 openings a year on average, including replacing people who leave.
BellmakerDuplicatorLayout ManShipfitterHangersmithShip FitterPlate FitterPlate HangerShip ErectorLayout FitterLayout WorkerMarine FitterLay-Out WorkerPattern SetterLayout MechanicLayout InspectorLayout FabricatorMarine ShipfitterSurface FabricatorDevelopment MechanicDimensional InspectorPattern Layout WorkerMachine Lay Out WorkerAircraft Lay Out Worker
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier Flat-pattern development, bend deductions and nesting layouts are solved problems in SolidWorks and SigmaNEST, but somebody still has to transfer those coordinates onto a 20-foot plate with scribe, prick punch, height gage and surface plate when the shop has no CNC marker — that split between automated math and manual transfer is what holds this at 10 rather than in the resistant band.
Hands-on in uncontrolled environments You work standing over layout tables and raw stock in an active fab shop — flipping plate, chalking and soaping surfaces, climbing on weldments to mark centerlines, dealing with mill scale, burrs and material that arrived out of flat — which is uncontrolled enough for 15, short of 18-20 only because the work stays inside a shop with the part brought to you rather than out on structures in weather.
No licence, no signature requirement No state licence, no journeyman card required, no stamp on the layout — the welder's certification and the QC inspector's sign-off carry the paper, and your marks are checked downstream before anything is cut, which is why this sits at 1 rather than 5.
Meaningful discretion You decide how to orient a pattern to dodge a rolling defect, how much to add for kerf and springback, and whether to shift a datum when the plate came in oversize — real calls, but made against a released print and a tolerance block, with the engineer and QC owning anything that changes the design, which puts it at 8 rather than mid-teens.
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 (10/20 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 (3/20) is whether buyers specifically pay for a person. Judgment and accountability (8/20) 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 37 points (32%).
Embodiment (15/20) 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.
Sheet Metal Workers SAFE
Riggers SAFE
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 50/100, still EXPOSED.
Task-mix shift: as nesting/CAD-CAM absorbs all routine flat-pattern and dimension work, the residual job becomes reconciling as-built stock against drawings — verifying warped, mill-tolerance-out, or weld-distorted plate and re-deriving layout on the spot. This tier resists automation because it requires measuring the actual object, not the model. Watch for job postings retitled toward 'dimensional inspection' / 'first-article layout' duties.
Growth of one-off and repair-side work — shipyard and pressure-vessel repair, structural retrofit, legacy-part fabrication where no CAD model exists and layout must be lifted off a distorted existing assembly in a confined space. If the shrinking occupation concentrates in repair/refit fab shops (Navy sub/carrier maintenance backlog contracts) rather than production shops, the residual embodiment share rises.
Formal ownership of the scrap/reject call: if shop quality systems (AS9100 or NADCAP audit findings on aerospace fab) require a named individual to authorize deviation when stock is out of tolerance and layout must be adjusted, the layout worker becomes the accountable party for material disposition on high-value plate and forgings.
AWS D1.1 / ASME Section VIII fabrication regimes already require documented dimensional verification before welding on code work; if AWS or ASME code committees, or a Navy NAVSEA fabrication spec, add an explicit requirement that a named certified layout/dimensional inspector sign the fit-up dimensional record — rather than allowing a CAM-generated report — the signature attaches to a person. Currently the signing party is usually the CWI or QC inspector, not the layout worker, so the realistic route is convergence of the two roles.
The limit. No plausible route to trust_premium — buyers purchase finished fabricated parts and never learn who scribed the lines. The occupation's floor is set by hands-on-metal work in shops too small or too custom to automate, not by any institutional protection; at ~6,000 workers the headcount trend is already the dominant fact and none of these levers reverse it.
| Virginia Beach-Chesapeake-Norfolk, VA-NC | 770 | $67,540 +6% |
| Wichita, KS | 590 | $79,240 +24% |
| Bremerton-Silverdale-Port Orchard, WA | 440 | $79,890 +25% |
| San Diego-Chula Vista-Carlsbad, CA | 250 | $74,490 +17% |
| Urban Honolulu, HI | 140 | $87,570 +37% |
| Birmingham, AL | 90 | $29,120 -54% |
| Detroit-Warren-Dearborn, MI | 80 | $61,870 -3% |
| Los Angeles-Long Beach-Anaheim, CA | 80 | $69,010 +8% |
| Seattle-Tacoma-Bellevue, WA | 50 | $123,080 +93% |
| Urban Honolulu, HI | 140 | $87,570 +37% |
| Bremerton-Silverdale-Port Orchard, WA | 440 | $79,890 +25% |
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 37. 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.