61
/100

SOC 51-4199

Metal Workers and Plastic Workers, All Other

High RiskFrey/Osborne: 92.0%

Risk Score

โš ๏ธ

61/100

High Risk

US Employment

๐Ÿ‘ฅ

20,270

Total workers

Median Wage

๐Ÿ’ฐ

$43K

$34K โ€“ $63K

Projected Growth

๐Ÿ“ˆ

-9.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

35/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Metal Workers and Plastic Workers, All Other face a risk score of 61/100 โ€” 17 points above the national average of 44. With only 35/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $43K. 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 61/100, Metal Workers and Plastic Workers, All Other faces moderate automation pressure. While tasks like cobots handling repetitive material handling tasks are increasingly handled by AI, the role retains significant human elements. The 20,270 workers in this occupation should focus on strengthening skills in handling non-standard materials and configurations and troubleshooting complex equipment malfunctions to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Metal Workers and Plastic Workers, All Other?

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

Smart factory scheduling and production optimization

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“

Troubleshooting complex equipment malfunctions

โœ“

Coordinating workflow across diverse production teams

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“Š vs National Average

Median Wage$43K
$-4K

National avg: $46K

Risk Score61/100
+17

National avg: 44/100

GenAI Exposure35/100
-3

National avg: 38/100

Projected Growth-9.5%
-13.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K67%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K57%
Fabric and Apparel Patternmakers33$68K71%