# Will fiberglass laminators be replaced by AI? Updated October 2026 Fiberglass laminators score 15 out of 100 for AI exposure. 88% of their task time needs a person. AI helps with the other 12%. - **12%** AI helps - **88%** Needs a person Low exposure Lower than 89% of the 923 jobs we scored. ## Task by task We graded 16 tasks, most exposed first. AI can't fully do any of them yet. It helps with 2 and leaves 14 to people. | Task | AI exposure | | --- | --- | | 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. Comparing die dimensions to drawings is partly document checking; measuring stays manual. | 40% AI helps | | Select precut fiberglass mats, cloth, and wood-bracing materials as required by projects being assembled. Material selection from specs could be looked up, but picking is physical. | 35% AI helps | | 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. Tapping and measuring parts is physical; AI only aids records. | 22% Needs a person | | Cure materials by letting them set at room temperature, placing them under heat lamps, or baking them in ovens. Curing involves setting oven or lamp conditions and watching the part. | 20% Needs a person | | Mix catalysts into resins, and saturate cloth and mats with mixtures, using brushes. Brush saturation is manual; AI may help only with mix ratios. | 15% Needs a person | ## How fiberglass laminators compare All jobs (923) Production (107) The dark line is **fiberglass laminators, at 15**. Each dot is a score, and darker dots mean more jobs share it. The short marks are the averages, 37 for all jobs and 22 for production. ## Pay and outlook in the US Median pay $46,880 a year, May 2025 People employed 16,170 in the US, May 2025 Projected change in jobs +4.6% from 2024 to 2034 ## Skills to build - Read mold drawings and blueprints for dimensional checks - Check die and template dimensions with micrometers - Tap-test laminates to find bubbles and dead spots - Mix resin catalyst ratios and log them in Excel - Write batch and inspection records in Microsoft Word - Saturate mat and cloth with brushes to spec ## Safer roles nearby 5 related jobs with lower scores. - [Foundry mold makers7 out of 100](https://www.aigentcy.com/ai-exposure/foundry-mold-makers/) - [Insulation workers13 out of 100](https://www.aigentcy.com/ai-exposure/insulation-workers/) - [Metal fabricators11 out of 100](https://www.aigentcy.com/ai-exposure/metal-fabricators/) - [Tire builders10 out of 100](https://www.aigentcy.com/ai-exposure/tire-builders/) - [Refractory materials repairers9 out of 100](https://www.aigentcy.com/ai-exposure/refractory-materials-repairers/) ## Questions about fiberglass laminators and AI Will AI replace fiberglass laminators? Partly. About 1 in 10 working hours go to tasks AI can already do, mostly checking dies and templates against drawings and selecting precut mats and cloth. Most of the job stays with people, because brushing resin, rolling bubbles out of wet laminate, and tapping finished parts need a person working with their hands on the mold. Which fiberglass laminator tasks is AI taking over? Checking dies, templates, and cutout patterns against dimensional data, blueprints, and customer specs has the highest exposure score at 40. Selecting precut mats, cloth, and wood-bracing materials from project specs follows at 35, since a lookup can match a spec to a material, though picking the stock stays physical. Which fiberglass laminator tasks stay human? Trimming cured parts with diamond cutoff wheels scores 5, and pressing mat into molds manually scores 8, the lowest exposure in the job. Both need hands on the material, and the mold and part change shape with every piece, so the physical work stays with a person at the mold. How do fiberglass laminators stay valuable as AI takes over spec checks? Keep the hands-on work that needs a person at the mold, such as brush saturation, roller work on wet laminate, and tap-testing for dead spots. Learn to read blueprints and measure with micrometers so you catch the errors spec lookups miss, and record batches and mix ratios clearly in Excel and Word. ## Related jobs - [Molders15 out of 100](https://www.aigentcy.com/ai-exposure/molders/) - [Aircraft assemblers16 out of 100](https://www.aigentcy.com/ai-exposure/aircraft-assemblers/) - [Spray painting machine operators15 out of 100](https://www.aigentcy.com/ai-exposure/spray-painting-machine-operators/) - [Furniture finishers17 out of 100](https://www.aigentcy.com/ai-exposure/furniture-finishers/) ## Next steps for fiberglass laminators - ### Check your job Your job title is a rough guide. Your tasks decide your score. Paste your job description or CV to see which tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) - ### Estimate team savings The score is per person. Add headcount and salary to see the hours AI can take on in a team of fiberglass laminators, and what they cost. [Estimate what AI saves a team of fiberglass laminators](https://www.aigentcy.com/tools/team-ai-audit/?role=fiberglass-laminators) [Work out the return on automation](https://www.aigentcy.com/tools/ai-savings-calculator/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Roustabouts score lowest, at 6.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Pediatric surgeons earn a median $559,030 and score 29.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Roustabouts need little prior training and score 6.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**AI helps with 98% of the task time for health informatics specialists.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we score, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 job groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Sources and licences Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.