59
/100

SOC 51-9195

Molders, Shapers, and Casters, Except Metal and Plastic

ElevatedFrey/Osborne: 90.0%

Risk Score

โš ๏ธ

59/100

Elevated

US Employment

๐Ÿ‘ฅ

34,750

Total workers

Median Wage

๐Ÿ’ฐ

$46K

$35K โ€“ $61K

Projected Growth

๐Ÿ“ˆ

+6.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

38/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Molders, Shapers, and Casters, Except Metal and Plastic face a risk score of 59/100 โ€” 15 points above the national average of 44. With only 38/100 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 59/100, Molders, Shapers, and Casters, Except Metal and Plastic faces moderate automation pressure. While tasks like ai quality inspection via computer vision systems are increasingly handled by AI, the role retains significant human elements. The 34,750 workers in this occupation should focus on strengthening skills in troubleshooting complex equipment malfunctions and quality judgment requiring tactile and visual inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Molders, Shapers, and Casters, Except Metal and Plastic?

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

โš ๏ธ Top Risk Factors

1

AI quality inspection via computer vision systems

2

Industrial robotics replacing manual assembly tasks

3

Cobots handling repetitive material handling tasks

4

Predictive maintenance reducing manual inspection roles

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Troubleshooting complex equipment malfunctions

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Handling non-standard materials and configurations

โœ“

Setup and calibration of custom production runs

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

Read work orders or examine parts to determine parts or sections of products to be produced.

โ€ข

Trim or remove excess material, using scrapers, knives, or band saws.

โ€ข

Verify depths and dimensions of cuts or carvings to ensure adherence to specifications, blueprints, or models, using measuring instruments.

โ€ข

Move fingers over surfaces of carvings to ensure smoothness of finish.

โ€ข

Shape, trim, or touch up roughed-out designs with appropriate tools to finish carvings.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Computer aided manufacturing CAM software

โ€ข

Inventory management software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Fine Arts

โ€ข

Production and Processing

โ€ข

Design

โ€ข

Mathematics

โ€ข

Customer and Personal Service

๐Ÿ“Š vs National Average

Median Wage$46K
$-620

National avg: $46K

Risk Score59/100
+15

National avg: 44/100

GenAI Exposure38/100
0

National avg: 38/100

Projected Growth6.2%
+2.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K63%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K53%
Fabric and Apparel Patternmakers33$68K82%