63
/100

SOC 51-4051

Metal-Refining Furnace Operators and Tenders

High RiskFrey/Osborne: 88.0%

Risk Score

โš ๏ธ

63/100

High Risk

US Employment

๐Ÿ‘ฅ

20,330

Total workers

Median Wage

๐Ÿ’ฐ

$56K

$39K โ€“ $80K

Projected Growth

๐Ÿ“ˆ

-2.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

46/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Metal-Refining Furnace Operators and Tenders face a risk score of 63/100 โ€” 19 points above the national average of 44. With only 46/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $56K ($9K 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 63/100, Metal-Refining Furnace 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 20,330 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 Metal-Refining Furnace Operators and Tenders?

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

โš ๏ธ Top Risk Factors

1

Industrial robotics replacing manual assembly tasks

2

AI quality inspection via computer vision systems

3

Automated CNC programming and machine operation

4

Predictive maintenance reducing manual inspection roles

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Troubleshooting complex equipment malfunctions

โœ“

Quality judgment requiring tactile and visual inspection

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“‹ O*NET Task Profile

โ€ข

Regulate supplies of fuel and air, or control flow of electric current and water coolant to heat furnaces and adjust temperatures.

โ€ข

Draw smelted metal samples from furnaces or kettles for analysis, and calculate types and amounts of materials needed to ensure that materials meet specifications.

โ€ข

Weigh materials to be charged into furnaces, using scales.

โ€ข

Record production data, and maintain production logs.

โ€ข

Observe air and temperature gauges or metal color and fluidity, and turn fuel valves or adjust controls to maintain required temperatures.

๐Ÿ’ป Technology Skills

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Industrial control software

โ€ข

Data base user interface and query software

โ€ข

Inventory management software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Mechanical

โ€ข

Public Safety and Security

โ€ข

Administration and Management

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$56K
+$9K

National avg: $46K

Risk Score63/100
+19

National avg: 44/100

GenAI Exposure46/100
+8

National avg: 38/100

Projected Growth-2.3%
-6.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K51%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K61%
Fabric and Apparel Patternmakers33$68K75%