60
/100

SOC 51-2051

Fiberglass Laminators and Fabricators

ElevatedFrey/Osborne: 93.0%

Risk Score

โš ๏ธ

60/100

Elevated

US Employment

๐Ÿ‘ฅ

18,520

Total workers

Median Wage

๐Ÿ’ฐ

$46K

$36K โ€“ $61K

Projected Growth

๐Ÿ“ˆ

+4.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

31/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Fiberglass Laminators and Fabricators face a risk score of 60/100 โ€” 16 points above the national average of 44. With only 31/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $46K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 60/100, Fiberglass Laminators and Fabricators faces moderate automation pressure. While tasks like smart factory scheduling and production optimization are increasingly handled by AI, the role retains significant human elements. The 18,520 workers in this occupation should focus on strengthening skills in handling non-standard materials and configurations and setup and calibration of custom production runs to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Fiberglass Laminators and Fabricators?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Smart factory scheduling and production optimization

2

Industrial robotics replacing manual assembly tasks

3

AI quality inspection via computer vision systems

4

Predictive maintenance reducing manual inspection roles

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Handling non-standard materials and configurations

โœ“

Setup and calibration of custom production runs

โœ“

Quality judgment requiring tactile and visual inspection

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Release air bubbles and smooth seams, using rollers.

โ€ข

Spray chopped fiberglass, resins, and catalysts onto prepared molds or dies using pneumatic spray guns with chopper attachments.

โ€ข

Mix catalysts into resins, and saturate cloth and mats with mixtures, using brushes.

โ€ข

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.

โ€ข

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.

๐Ÿ’ป Technology Skills

โ€ข

Enterprise resource planning ERP software

โ€ข

Spreadsheet software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Administration and Management

โ€ข

Production and Processing

โ€ข

Education and Training

โ€ข

Chemistry

โ€ข

English Language

๐Ÿ“Š vs National Average

Median Wage$46K
$-550

National avg: $46K

Risk Score60/100
+16

National avg: 44/100

GenAI Exposure31/100
-7

National avg: 38/100

Projected Growth4.2%
+0.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K65%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K55%
Fabric and Apparel Patternmakers33$68K84%