76
/100

SOC 51-4062

Patternmakers, Metal and Plastic

High RiskFrey/Osborne: 90.0%

Risk Score

โš ๏ธ

76/100

High Risk

US Employment

๐Ÿ‘ฅ

1,570

Total workers

Median Wage

๐Ÿ’ฐ

$55K

$39K โ€“ $80K

Projected Growth

๐Ÿ“ˆ

-24.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

44/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Patternmakers, Metal and Plastic face a risk score of 76/100 โ€” 32 points above the national average of 44. With only 44/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $55K ($8K above the national median). 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 76/100, Patternmakers, Metal and Plastic faces significant automation pressure. Key threats include cobots handling repetitive material handling tasks and ai quality inspection via computer vision systems. The 1,570 Americans in this role should actively develop skills in coordinating workflow across diverse production teams and setup and calibration of custom production runs to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Patternmakers, Metal and Plastic?

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

โš ๏ธ Top Risk Factors

1

Cobots handling repetitive material handling tasks

2

AI quality inspection via computer vision systems

3

Predictive maintenance reducing manual inspection roles

4

Automated CNC programming and machine operation

5

Industrial robotics replacing manual assembly tasks

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Coordinating workflow across diverse production teams

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

Verify conformance of patterns or template dimensions to specifications, using measuring instruments such as calipers, scales, and micrometers.

โ€ข

Set up and operate machine tools, such as milling machines, lathes, drill presses, and grinders, to machine castings or patterns.

โ€ข

Repair and rework templates and patterns.

โ€ข

Assemble pattern sections, using hand tools, bolts, screws, rivets, glue, or welding equipment.

โ€ข

Read and interpret blueprints or drawings of parts to be cast or patterns to be made, compute dimensions, and plan operational sequences.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Computer aided manufacturing CAM software

โ€ข

Spreadsheet software

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Mechanical

โ€ข

Mathematics

โ€ข

Design

โ€ข

Engineering and Technology

๐Ÿ“Š vs National Average

Median Wage$55K
+$8K

National avg: $46K

Risk Score76/100
+32

National avg: 44/100

GenAI Exposure44/100
+6

National avg: 38/100

Projected Growth-24.4%
-28.1%

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$68K71%