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Fiberglass Laminators and Fabricators

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

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-51-2051-00/context.md directly.

AI work map

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.

6th-percentile task overlap — yet about 2,100 openings a year (+4.2% projected, BLS) . What exposure means →

AI & job outlook

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.

Exposure to current AI

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.

Job outlook

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.

Tasks

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.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Administration and Management 3.9
Production and Processing 3.8
Education and Training 3.6
Chemistry 3.3
English Language 3.2
Customer and Personal Service 3.0
Building and Construction 3.0
Administrative 3.0
Mechanical 2.9

Abilities

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

Essential skills

Monitoring 3.1
Reading Comprehension 3.0
Active Listening 3.0
Speaking 3.0

Transferable skills

Operations Monitoring 3.1
Complex Problem Solving 3.0

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology
Microsoft Word Word processing software Hot technology

Work context

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.

Spend Time Standing 5.0
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 5.0
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 4.7
Exposed to Contaminants 4.7
Face-to-Face Discussions with Individuals and Within Teams 4.6
Time Pressure 4.6
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.5
Physical Proximity 4.5
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.4
Work With or Contribute to a Work Group or Team 4.4
Spend Time Making Repetitive Motions 4.2
Contact With Others 4.2
Spend Time Bending or Twisting Your Body 4.1
Work Outcomes and Results of Other Workers 3.8
Health and Safety of Other Workers 3.8
Exposed to Hazardous Conditions 3.8
Importance of Being Exact or Accurate 3.8
Spend Time Kneeling, Crouching, Stooping, or Crawling 3.6
Importance of Repeating Same Tasks 3.6
Indoors, Not Environmentally Controlled 3.3
Coordinate or Lead Others in Accomplishing Work Activities 3.3
Exposed to Hazardous Equipment 3.2
Exposed to Cramped Work Space, Awkward Positions 3.2
Freedom to Make Decisions 3.0
Pace Determined by Speed of Equipment 2.9
Impact of Decisions on Co-workers or Company Results 2.8
Spend Time Walking or Running 2.8
Exposed to Very Hot or Cold Temperatures 2.8
Consequence of Error 2.8
Dealing With Unpleasant, Angry, or Discourteous People 2.7
Determine Tasks, Priorities and Goals 2.6
Exposed to Minor Burns, Cuts, Bites, or Stings 2.5
Indoors, Environmentally Controlled 2.5
Frequency of Decision Making 2.4
Deal With External Customers or the Public in General 2.4
Exposed to High Places 2.3
Spend Time Climbing Ladders, Scaffolds, or Poles 2.3
Conflict Situations 2.2
Level of Competition 2.1
Spend Time Keeping or Regaining Balance 2.0

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

Education of current workers

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%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Realistic 6.7
Conventional 3.5
Artistic 2.2
Investigative 2.0

Interest areas

Physical/Manual Labor 5.9
Engineering 2.6
Construction/Woodwork 2.3
Mechanics/Electronics 1.8
Transportation/Machine Operation 1.6
Physical Science 1.4
Applied Arts and Design 1.4
Visual Arts 1.3
Management/Administration 1.2

Work styles

Attention to Detail 2.1
Dependability 2.0
Cautiousness 1.5

Wages & employment

U.S. · annual wages (BLS OEWS)

$36k10th$39k25th$46kMedian$52k75th$61k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
19k202419k2034 (proj.)+4.2% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $35,950
25th percentile $39,230
Median (50th) $45,760
75th percentile $51,530
90th percentile $61,370
People employed 18,520

Industries that employ this occupation

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

Where this work is most concentrated

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.

Exposure quadrant: AI task-overlap percentile vs Median pay Fiberglass Laminators and Fabricators sits at the 6th percentile of AI task-overlap and the 22nd percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Fiberglass Laminators and Fabricators Tire Builders Coating, Painting, and Spraying Machine Setters, Operators, and Tenders Structural Metal Fabricators and Fitters Aircraft Structure, Surfaces, Rigging, and Systems Assemblers Furniture Finishers AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

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.

Write a report on thisheadline · factoids · citation

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)
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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.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

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.

Sources for this page

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.

Cite this page
Plain

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

APA

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

BibTeX
@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.

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