Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 51-2051.00
Laminate layers of fiberglass on molds to form boat decks and hulls, bodies for golf carts, automobiles, or other products.
Also called: Boat Builder · Chopper Gun Operator · Fiberglass Laminator · Laminator · Boat Carpenter · Fiberglass Technician · Fiberglasser · Gel-Coater · Lamination Technician · Roller · Boat Assembler · Composite Bond Technician
Job family: Production Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-51-2051-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
6th-percentile task overlap — yet about 2,100 openings a year (+4.2% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) Low | 7th | 0.0 | |
| AI assistant applicability (Microsoft) Low | 14th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.0), and including AI-powered software (γ 0.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +4.2% by 2034 |
| Projected annual openings | 2,100 |
| Employment 2024 → 2034 | 18,600 → 19,400 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 16 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Problem Sensitivity | 3.6 | |
| Arm-Hand Steadiness | 3.6 | |
| Multilimb Coordination | 3.6 | |
| Trunk Strength | 3.6 | |
| Near Vision | 3.6 | |
| Oral Comprehension | 3.3 | |
| Information Ordering | 3.3 | |
| Visualization | 3.3 | |
| Extent Flexibility | 3.3 | |
| Flexibility of Closure | 3.1 | |
| Selective Attention | 3.1 | |
| Manual Dexterity | 3.1 | |
| Control Precision | 3.1 | |
| Static Strength | 3.1 | |
| Visual Color Discrimination | 3.1 | |
| Written Comprehension | 3.0 | |
| Oral Expression | 3.0 | |
| Deductive Reasoning | 3.0 | |
| Inductive Reasoning | 3.0 | |
| Category Flexibility | 3.0 | |
| Perceptual Speed | 3.0 | |
| Finger Dexterity | 3.0 | |
| Stamina | 3.0 | |
| Speech Recognition | 3.0 | |
| Speech Clarity | 3.0 |
| Monitoring | 3.1 | |
| Reading Comprehension | 3.0 | |
| Active Listening | 3.0 | |
| Speaking | 3.0 |
| Operations Monitoring | 3.1 | |
| Complex Problem Solving | 3.0 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
Share of people in this occupation at each level of education.
| High School Diploma | 45.8% | |
| Less than a High School Diploma | 42.5% | |
| Some College Courses | 11.0% | |
| Bachelor's Degree | 0.6% |
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 6.7 | |
| Conventional | 3.5 | |
| Artistic | 2.2 | |
| Investigative | 2.0 |
| Attention to Detail | 2.1 | |
| Dependability | 2.0 | |
| Cautiousness | 1.5 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $35,950 |
| 25th percentile | $39,230 |
| Median (50th) | $45,760 |
| 75th percentile | $51,530 |
| 90th percentile | $61,370 |
| People employed | 18,520 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Manufacturing · Sector | 16,740 | $45,790 |
| Other Services (except Public Administration) · Sector | 600 | $45,100 |
| Retail Trade · Sector | 510 | $42,340 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 280 | $36,560 |
| Temporary Help Services · National industry | 220 | $34,150 |
| Construction · Sector | 80 | $50,390 |
| Arts, Entertainment, and Recreation · Sector | 80 | $59,170 |
| Wholesale Trade · Sector | — | $49,500 |
| Professional, Scientific, and Technical Services · Sector | — | $38,880 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Manufacturing · Sector | 10.92× | 16,740 |
| Other Services (except Public Administration) · Sector | 1.13× | 600 |
| Temporary Help Services · National industry | 0.69× | 220 |
| Retail Trade · Sector | 0.27× | 510 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 0.26× | 280 |
Part of the Advanced Manufacturing career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Fiberglass Laminators and Fabricators — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Fiberglass Laminators and Fabricators show 6th-percentile AI task overlap — and about 2,100 annual U.S. openings
Fiberglass Laminators and Fabricators show 6th-percentile AI task overlap — and about 2,100 annual U.S. openings • Fiberglass Laminators and Fabricators rank in the 6th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 2,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+4.2%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $45,760, across about 18,520 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Fiberglass Laminators and Fabricators". https://singulariki.com/roles/role-51-2051-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Fiberglass Laminators and Fabricators." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-51-2051-00
Singulariki. (2026). Fiberglass Laminators and Fabricators. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-2051-00
@misc{singulariki-role-51-2051-00,
title = {Fiberglass Laminators and Fabricators},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-51-2051-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.