SOC 51-9051
Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders
Risk Score
โ ๏ธ48/100
Elevated
US Employment
๐ฅ16,160
Total workers
Median Wage
๐ฐ$47K
$35K โ $66K
Projected Growth
๐+3%
2023-2033 (BLS)
GenAI Exposure
๐ค53/100
Moderate exposure
๐ก Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders face a risk score of 48/100 โ 4 points above the national average of 44. With 53/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ
๐ก Workers in this field earn $47K ($700 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 48/100, Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders faces moderate automation pressure. While tasks like industrial robotics replacing manual assembly tasks are increasingly handled by AI, the role retains significant human elements. The 16,160 workers in this occupation should focus on strengthening skills in troubleshooting complex equipment malfunctions and quality judgment requiring tactile and visual inspection to stay ahead. The role will likely evolve rather than disappear.
Will AI Replace Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders?
Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ
โ ๏ธ Top Risk Factors
Industrial robotics replacing manual assembly tasks
Predictive maintenance reducing manual inspection roles
Cobots handling repetitive material handling tasks
AI quality inspection via computer vision systems
๐ก๏ธ Tasks Safe from Automation
Troubleshooting complex equipment malfunctions
Quality judgment requiring tactile and visual inspection
Setup and calibration of custom production runs
Handling non-standard materials and configurations
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
Monitor equipment operation, gauges, and panel lights to detect deviations from standards.
Confer with supervisors or other equipment operators to report equipment malfunctions or to resolve production problems.
Press and adjust controls to activate, set, and regulate equipment according to specifications.
Record gauge readings, test results, and shift production in log books.
Read and interpret work orders and instructions to determine work assignments, process specifications, and production schedules.
๐ป Technology Skills
Inventory management software
Industrial control software
Spreadsheet software
Word processing software
๐ Key Knowledge Areas
Mechanical
Production and Processing
Public Safety and Security
Computers and Electronics
English Language
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 | 61% |
| First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors | 25 | $62K | 51% |
| Fabric and Apparel Patternmakers | 33 | $68K | 75% |