Will AI replace Fiberglass Laminators and Fabricators?
Estimated risk score: 5 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (0 to 24).
For the occupation as a whole, from ratings of its 16 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-2051.00 · Production
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 0 of its 16 rated tasks. In O*NET’s words.
None of its rated tasks.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 15 of its 16 rated tasks; the first 6 are shown. In O*NET’s words.
- Bond wood reinforcing strips to decks and cabin structures of watercraft, using resin-saturated fiberglass.
- 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.
- 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.
- Release air bubbles and smooth seams, using rollers.
- Select precut fiberglass mats, cloth, and wood-bracing materials as required by projects being assembled.
What the job is
Laminate layers of fiberglass on molds to form boat decks and hulls, bodies for golf carts, automobiles, or other products.
Also called: Chopper Gun Operator, Fiberglass Laminator, Ski Maker, Gel-Coater, Fiberglasser, Boat Assembler, Golf Cart Maker, Fiberglass Roller.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate