As of August 2026, Fiberglass Laminators and Fabricators has an AI-exposure score of 45/100 (Moderate exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Fiberglass Laminators and Fabricators

45/100
Moderate exposure
LowModerateElevatedHighVery High

More exposed than 18% of the roles we track. Median pay ~US$46,880. About 2,100 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Fiberglass Laminators and Fabricators?

No exposure score can predict whether AI will replace this role. The 45/100 score means our current model estimates moderate task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in our Moderate exposure band, not our highest-exposure bands. The study's 16% finding should not be applied directly to this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Laminate layers of fiberglass on molds to form boat decks and hulls, bodies for golf carts, automobiles, or other products.

Common titles
Boat BuilderChopper Gun OperatorFiberglass LaminatorLaminatorBoat CarpenterFiberglass Technician
O*NET job-zone preparation
Job Zone 2 · Job Zone 1-2: Very Little to Some Preparation Needed Usually requires a high school diploma or GED, though some occupations may not. Some occupations may need little or no previous experience; others require several months to a year of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
MonitoringComplex Problem SolvingReading ComprehensionSpeakingAdministration and ManagementProduction and Processing
Work context
Frequent contact with othersRepeating tasksDecision latitude

Source: O*NET 29.1 exact occupation - Fiberglass Laminators and Fabricators, SOC 51-2051.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Fiberglass Laminators and Fabricators tasks, by AI exposure

Automatable
  • Check all dies, templates, and cutout patterns to be used in the manufacturing process to ensure that they conform to dimensional data, photographs, blueprints, samples, or customer specifications.
  • Check completed products for conformance to specifications and for defects by measuring with rulers or micrometers, by checking them visually, or by tapping them to detect bubbles or dead spots.
  • Mix catalysts into resins, and saturate cloth and mats with mixtures, using brushes.
8 more automatable tasks locked in the report.
Augmentable
  • Select precut fiberglass mats, cloth, and wood-bracing materials as required by projects being assembled.
  • Repair or modify damaged or defective glass-fiber parts, checking thicknesses, densities, and contours to ensure a close fit after repair.
1 more augmentable task locked in the report.
Durable
  • Bond wood reinforcing strips to decks and cabin structures of watercraft, using resin-saturated fiberglass.
  • Mask off mold areas not to be laminated, using cellophane, wax paper, masking tape, or special sprays containing mold-release substances.

We analyzed all 16 Fiberglass Laminators and Fabricators tasks - 11 automatable, 3 augmentable and 2 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Insulation Workers, Floor, Ceiling, and Wall
64% skills overlap; 12 points lower - lower exposure; Low band; ~US$49,120
View path
33
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Check all dies, templates, and cutout patterns to be used in the manufacturing process to ensure that they conform to dimensional data, photographs, blueprints, samples, or customer specifications.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Fiberglass Laminators and Fabricators - median pay by US state (BLS OEWS, USD)

California: US$47,750New York: US$47,300Florida: US$47,140Texas: US$44,450

Median annual wage, in USD. US national: US$46,880. More states are being added.

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