EXPOSED
Hand layup of glass mat, resin rolling, gel-coat spraying, trimming and grinding cured parts are physical tasks in a messy shop environment — language AI does none of it, and dexterous work inside boat hulls, tank molds and tub shells is still hard for robots. The real pressure is older, cheaper automation: chopper-gun and spray robots, resin transfer molding, closed-mold and infusion processes that cut headcount per part, plus offshoring of high-volume composite work. There is no license, no client relationship, and little discretion beyond catching voids, dry spots and cure defects, so nothing protects the job if the process changes.
Part 2020 shock, part continued decline in the years since.
Median pay $35,480 → $46,880 +5.7% 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
+4.2%
Percentage only. The projection counts a different population from the 16,170 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 +4.2% 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.
~2,100 openings a year on average, including replacing people who leave.
MolderRollerLaminatorSki MakerFabricatorGel-CoaterBoat BuilderFiberglasserBoat AssemblerBoat CarpenterGolf Cart MakerFiberglass RollerComposite MechanicFiberglass GrinderLamination BuilderComposite LaminatorFiberglass FinisherGolf Cart AssemblerLamination OperatorChopper Gun OperatorComposite TechnicianFiberglass LaminatorFiberglass Ski MakerFiberglass Boat Maker
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation Reaching into a 40-foot hull to squeegee out air bubbles, feeling for dry spots through a wet mat, and hand-fitting mat around corners and stringers are tasks no software touches and few robots do well — the 14 rather than 18 reflects that flat panels, chopper-gun spray-up and infusion setups have already been mechanized in higher-volume shops.
Hands-on in uncontrolled environments The whole job is in the shop: kneeling inside molds, working overhead, handling styrene fumes and resin drips, running grinders and trim saws on cured parts — 16 not 20 because the mold bay is still your own controlled floor, not a customer's roof or a highway shoulder.
No licence, no signature requirement There is no state license for laminating; OSHA respirator fit-testing and a resin-handling safety class are employer paperwork, and when a hull delaminates the boatbuilder's warranty and its engineer absorb it, not you.
Executes defined procedures on defined inputs You decide when a layup has cured enough to demold, whether a void needs grinding back and re-wetting, and how much catalyst to run on a hot day — real calls, but bounded by the layup schedule, the ply drawing and resin-to-glass ratios someone else specified.
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 (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 (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 10 of this occupation's 40 points (25%).
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 53/100, still EXPOSED.
Task-mix shift: as chopper-gun, infusion and RTM absorb flat-panel and high-volume layup, remaining human work concentrates in one-off molds, repair, prototype tooling and complex-geometry closeouts — the tier that resists both robots and process automation. Visible now in marine refit and wind-blade field repair, where damaged-part rebuild cannot be molded
Confined-space and at-height work — wind turbine blade repair in situ, tank interiors, hull bilges — where PPE, styrene exposure limits and unrepeatable geometry keep robotic layup uneconomic; more in-field repair share raises this
Certified composite laminator credentials becoming mandatory sign-off for structural parts — e.g. ABS/DNV or FAA-adjacent shop approvals already require named, qualified laminators for classed hulls and aerospace secondary structure; if ACMA-style certification or state boiler/pressure-vessel rules (ASME RTP-1 for FRP tanks already requires certified fabricators and stamped inspection) were extended to more product classes, the person who lays up and signs the traveler becomes legally identified
NDT and repair-scope calls: if blade-repair and hull-survey work continues shifting to technicians who both assess damage (tap test, thermography) and execute the scheme, the role owns a consequential structural call under ambiguity rather than following a layup schedule
The limit. No realistic route to trust premium: buyers specify laminate schedules and test results, not the hand that laid it. Even with every lever, the dominant threat is closed-mold process change and offshoring, which no institutional shield addresses — headcount per part falls regardless of who signs.
| Elkhart-Goshen, IN | 1,050 | $47,960 +2% |
| Seattle-Tacoma-Bellevue, WA | 770 | $59,110 +26% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 560 | $54,080 +15% |
| Tampa-St. Petersburg-Clearwater, FL | 450 | $40,750 -13% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 430 | $46,200 -1% |
| Orlando-Kissimmee-Sanford, FL | 420 | $46,910 +0% |
| Los Angeles-Long Beach-Anaheim, CA | 340 | $47,450 +1% |
| Port St. Lucie, FL | 300 | $47,240 +1% |
| Bellingham, WA | 30 | $73,920 +58% |
| New York-Newark-Jersey City, NY-NJ | 150 | $60,130 +28% |
| San Jose-Sunnyvale-Santa Clara, CA | 50 | $59,400 +27% |
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 40. 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.