76
/100

SOC 51-4193

Plating Machine Setters, Operators, and Tenders, Metal and Plastic

High RiskFrey/Osborne: 92.0%

Risk Score

โš ๏ธ

76/100

High Risk

US Employment

๐Ÿ‘ฅ

31,510

Total workers

Median Wage

๐Ÿ’ฐ

$42K

$32K โ€“ $58K

Projected Growth

๐Ÿ“ˆ

-13.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

44/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Plating Machine Setters, Operators, and Tenders, 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 $42K. 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, Plating Machine Setters, Operators, and Tenders, Metal and Plastic faces significant automation pressure. Key threats include smart factory scheduling and production optimization and ai quality inspection via computer vision systems. The 31,510 Americans in this role should actively develop skills in troubleshooting complex equipment malfunctions 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 Plating 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

Smart factory scheduling and production optimization

2

AI quality inspection via computer vision systems

3

Automated CNC programming and machine operation

4

Industrial robotics replacing manual assembly tasks

5

Cobots handling repetitive material handling tasks

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Troubleshooting complex equipment malfunctions

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

Immerse workpieces in coating solutions or liquid metal or plastic for specified times.

โ€ข

Adjust dials to regulate flow of current and voltage supplied to terminals to control plating processes.

โ€ข

Inspect coated or plated areas for defects, such as air bubbles or uneven coverage.

โ€ข

Set up, operate, or tend plating or coating machines to coat metal or plastic products with chromium, zinc, copper, cadmium, nickel, or other metal to protect or decorate surfaces.

โ€ข

Observe gauges to ensure that machines are operating properly, making adjustments or stopping machines when problems occur.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Compliance software

โ€ข

Spreadsheet software

โ€ข

Electronic mail software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Mathematics

โ€ข

Chemistry

โ€ข

English Language

โ€ข

Mechanical

๐Ÿ“Š vs National Average

Median Wage$42K
$-5K

National avg: $46K

Risk Score76/100
+32

National avg: 44/100

GenAI Exposure44/100
+6

National avg: 38/100

Projected Growth-13.6%
-17.3%

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%