SOC 51-4191
Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic
Risk Score
โ ๏ธ74/100
High Risk
US Employment
๐ฅ14,590
Total workers
Median Wage
๐ฐ$47K
$35K โ $64K
Projected Growth
๐-12.8%
2023-2033 (BLS)
GenAI Exposure
๐ค42/100
Moderate exposure
๐ก Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic face a risk score of 74/100 โ 30 points above the national average of 44. With only 42/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ
๐ก Workers in this field earn $47K ($1K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ
๐ AI Impact Analysis
With a risk score of 74/100, Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic faces significant automation pressure. Key threats include ai quality inspection via computer vision systems and industrial robotics replacing manual assembly tasks. The 14,590 Americans in this role should actively develop skills in quality judgment requiring tactile and visual inspection and coordinating workflow across diverse production teams to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.
Will AI Replace Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic?
Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ
โ ๏ธ Top Risk Factors
AI quality inspection via computer vision systems
Industrial robotics replacing manual assembly tasks
Cobots handling repetitive material handling tasks
Automated CNC programming and machine operation
Smart factory scheduling and production optimization
๐ก๏ธ Tasks Safe from Automation
Quality judgment requiring tactile and visual inspection
Coordinating workflow across diverse production teams
Setup and calibration of custom production runs
๐ 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.
๐ O*NET Task Profile
Read production schedules and work orders to determine processing sequences, furnace temperatures, and heat cycle requirements for objects to be heat-treated.
Record times that parts are removed from furnaces to document that objects have attained specified temperatures for specified times.
Adjust controls to maintain temperatures and heating times, using thermal instruments and charts, dials and gauges of furnaces, and color of stock in furnaces to make setting determinations.
Start conveyors and open furnace doors to load stock, or signal crane operators to uncover soaking pits and lower ingots into them.
Set up and operate or tend machines, such as furnaces, baths, flame-hardening machines, and electronic induction machines, that harden, anneal, and heat-treat metal.
๐ป Technology Skills
Enterprise resource planning ERP software
Spreadsheet software
Office suite software
Electronic mail software
Word processing software
๐ Key Knowledge Areas
Production and Processing
Mathematics
Education and Training
Administration and Management
Chemistry
๐ vs National Average
National avg: $46K
National avg: 44/100
National avg: 38/100
National avg: 3.7%
๐ Career Transition Paths
| Occupation | Risk | Wage | Overlap |
|---|---|---|---|
| Engineers | 20 | $106K | 53% |
| First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors | 25 | $62K | 63% |
| Fabric and Apparel Patternmakers | 33 | $68K | 82% |