Will AI replace Fiberglass Laminators and Fabricators?
AI reaches little of this job’s work.
7/100
Low exposure
More exposed to AI than 14% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 7% of the work
What the job involves
Laminate layers of fiberglass on molds to form boat decks and hulls, bodies for golf carts, automobiles, or other products.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(1)
- Select precut fiberglass mats, cloth, and wood-bracing materials as required by projects being assembled.
Out of reach(15)
- Release air bubbles and smooth seams, using rollers.
- Mix catalysts into resins, and saturate cloth and mats with mixtures, using brushes.
- Pat or press layers of saturated mat or cloth into place on molds, using brushes or hands, and smooth out wrinkles and air bubbles with hands or squeegees.
- 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.
- Bond wood reinforcing strips to decks and cabin structures of watercraft, using resin-saturated fiberglass.
and 10 more
Also called
Fiberglass Laminator · Laminator · Boat Builder · Fiberglasser · Boat Assembler · Fiberglass Boat Maker · Fiberglass Container Winding Operator · Fiberglass Fabricator
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics