66
/100

SOC 51-4072

Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic

High RiskFrey/Osborne: 95.0%

Risk Score

โš ๏ธ

66/100

High Risk

US Employment

๐Ÿ‘ฅ

154,820

Total workers

Median Wage

๐Ÿ’ฐ

$41K

$32K โ€“ $60K

Projected Growth

๐Ÿ“ˆ

-3.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

34/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic face a risk score of 66/100 โ€” 22 points above the national average of 44. With only 34/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $41K. 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 66/100, Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic faces moderate automation pressure. While tasks like predictive maintenance reducing manual inspection roles are increasingly handled by AI, the role retains significant human elements. The 154,820 workers in this occupation should focus on strengthening skills in handling non-standard materials and configurations and quality judgment requiring tactile and visual inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic?

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

โš ๏ธ Top Risk Factors

1

Predictive maintenance reducing manual inspection roles

2

AI quality inspection via computer vision systems

3

Smart factory scheduling and production optimization

4

Cobots handling repetitive material handling tasks

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Handling non-standard materials and configurations

โœ“

Quality judgment requiring tactile and visual inspection

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

Measure and visually inspect products for surface and dimension defects to ensure conformance to specifications, using precision measuring instruments.

โ€ข

Observe continuous operation of automatic machines to ensure that products meet specifications and to detect jams or malfunctions, making adjustments as necessary.

โ€ข

Set up, operate, or tend metal or plastic molding, casting, or coremaking machines to mold or cast metal or thermoplastic parts or products.

โ€ข

Turn valves and dials of machines to regulate pressure, temperature, and speed and feed rates, and to set cycle times.

โ€ข

Read specifications, blueprints, and work orders to determine setups, temperatures, and time settings required to mold, form, or cast plastic materials, as well as to plan production sequences.

๐Ÿ’ป Technology Skills

โ€ข

Industrial control software

โ€ข

Analytical or scientific software

โ€ข

Computer aided manufacturing CAM software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Mechanical

โ€ข

Mathematics

โ€ข

English Language

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$41K
$-5K

National avg: $46K

Risk Score66/100
+22

National avg: 44/100

GenAI Exposure34/100
-4

National avg: 38/100

Projected Growth-3.8%
-7.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K57%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K67%
Fabric and Apparel Patternmakers33$68K81%