High AI Risk Slow Growth

Metal-refining furnace operators and tenders

SOC Code: 51-4051

Metal-refining furnace operators and tenders carries a 42% AI exposure score (High automation risk), with a median annual wage of $55,770 and -2.3% projected employment growth from 2024 to 2034 (BLS), affecting approximately 20,800 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
42% High

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
-2.3%
2024–2034 (BLS)
-500 jobs
Median Annual Wage
$55,770
BLS May 2024
How wage figures are sourced →
The verdict

At 42% AI exposure, Metal-refining furnace operators and tenders sits 5 points above the 37.2% average across 832 U.S. occupations - more exposed than 73% of them. Most of its core tasks still require human judgment.

42%
AI exposure
Top 27%
most exposed
-2.3%
Job growth 2024–34
$55,770
Median wage

Where Metal-refining furnace operators and tenders sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

AI exposure distribution - Metal-refining furnace operators and tenders marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 27% by AI exposure Higher AI exposure than 73% of all 832 occupations.

Metal-refining furnace operators and tenders has ai exposure of 42%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Metal-refining furnace operators and tenders vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Metal-refining furnace operators and tenders is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk28.1%33.0%38%43.0%47.9%-11.5%-7.0%-2.5%1.9%6.4%AI exposure (%) →Projected growth (%) →Metal-refining furnaMiscellaneous assembFirst-line supervisoInspectorsWeldersPackagingMachinistsProduction workersElectricalBakersLaundryComputer numerically

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

20,800
Employment 2024
20,300
Projected 2034
-2.3%
Change (%)
-500
Change (jobs)

Occupation Insight

Metal-refining furnace operators and tenders (SOC 51-4051) carries an AI exposure score of 42%, placing it in the High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.

The economic context matters alongside the risk score. BLS counted approximately 20,800 workers in this occupation in 2024, and projects a -2.3% change through 2034 - a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $55,770, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Metal-refining furnace operators and tenders. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
None
On-the-Job Training
Moderate-term on-the-job training

Top Tasks (O*NET)

  1. 1. Regulate supplies of fuel and air, or control flow of electric current and water coolant to heat furnaces and adjust temperatures.
  2. 2. Draw smelted metal samples from furnaces or kettles for analysis, and calculate types and amounts of materials needed to ensure that materials meet specifications.
  3. 3. Prepare material to load into furnaces, including cleaning, crushing, or applying chemicals, by using crushing machines, shovels, rakes, or sprayers.
  4. 4. Weigh materials to be charged into furnaces, using scales.
  5. 5. Record production data, and maintain production logs.
  6. 6. Observe air and temperature gauges or metal color and fluidity, and turn fuel valves or adjust controls to maintain required temperatures.
  7. 7. Operate controls to move or discharge metal workpieces from furnaces.
  8. 8. Inspect furnaces and equipment to locate defects and wear.
  9. 9. Drain, transfer, or remove molten metal from furnaces, and place it into molds, using hoists, pumps, or ladles.
  10. 10. Remove impurities from the surface of molten metal, using strainers.

Key Skills Required

  • Operations Monitoring
  • Operation and Control
  • Monitoring
  • Reading Comprehension
  • Active Listening
  • Speaking
  • Critical Thinking
  • Complex Problem Solving
  • Quality Control Analysis
  • Active Learning

Knowledge Areas

  • Production and Processing
  • Mechanical
  • Public Safety and Security
  • Administration and Management
  • Education and Training
  • Customer and Personal Service
  • Chemistry
  • Mathematics
  • English Language
  • Engineering and Technology

Frequently Asked Questions

Will AI replace Metal-refining furnace operators and tenders?

Metal-refining furnace operators and tenders has an AI exposure score of 42%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.

What is the job outlook for Metal-refining furnace operators and tenders?

According to BLS Employment Projections 2024-2034, Metal-refining furnace operators and tenders is projected to decline by 2.3% over the decade. Current employment stands at approximately 20,800 workers.

What skills are needed for Metal-refining furnace operators and tenders?

Key skills for Metal-refining furnace operators and tenders include Operations Monitoring, Operation and Control, Monitoring, and others. Typical entry-level education is High school diploma or equivalent.

How much do Metal-refining furnace operators and tenders earn?

The median annual wage for Metal-refining furnace operators and tenders is $55,770, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Metal-refining furnace operators and tenders?

The typical entry-level education for Metal-refining furnace operators and tenders is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Metal-refining furnace operators and tenders?

Metal-refining furnace operators and tenders roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

2.1
out of 5.0

High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.