AI exposure by occupation, O*NET 51-4051.00
Will AI replace Metal-Refining Furnace Operators and Tenders?
Metal-Refining Furnace Operators and Tenders: AI can already handle 1 of 15 tasks; most of the work is hands-on, and the part AI can address mostly needs a standard-tier model.
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Every task, scored
The 15 tasks O*NET 30.3 lists for Metal-Refining Furnace Operators and Tenders, from most to least exposed. 1 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Draw smelted metal samples from furnaces or kettles for analysis, and calculate types and amounts of materials needed to ensure that materials meet specifications. | Estimated | Frontier | |
| Remove impurities from the surface of molten metal, using strainers. | Estimated | Efficient | |
| Record production data, and maintain production logs. | Estimated | Efficient | |
| Observe air and temperature gauges or metal color and fluidity, and turn fuel valves or adjust controls to maintain required temperatures. | Estimated | Efficient | |
| Inspect furnaces and equipment to locate defects and wear. | Estimated | Efficient | |
| Direct work crews in the cleaning and repair of furnace walls and flooring. | Estimated | Standard | |
| Regulate supplies of fuel and air, or control flow of electric current and water coolant to heat furnaces and adjust temperatures. | Estimated | No tier | |
| Prepare material to load into furnaces, including cleaning, crushing, or applying chemicals, by using crushing machines, shovels, rakes, or sprayers. | Estimated | No tier | |
| Weigh materials to be charged into furnaces, using scales. | Estimated | No tier | |
| Operate controls to move or discharge metal workpieces from furnaces. | Estimated | No tier | |
| Drain, transfer, or remove molten metal from furnaces, and place it into molds, using hoists, pumps, or ladles. | Estimated | No tier | |
| Kindle fires, and shovel fuel and other materials into furnaces or onto conveyors by hand, with hoists, or by directing crane operators. | Estimated | No tier | |
| Observe operations inside furnaces, using television screens, to ensure that problems do not occur. | Estimated | No tier | |
| Sprinkle chemicals over molten metal to bring impurities to the surface. | Estimated | No tier | |
| Scrape accumulations of metal oxides from floors, molds, and crucibles, and sift and store them for reclamation. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 15 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 15 of 15. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A standard-tier model or lower covers 33% of the role's importance-weighted task work. 40% of the work is something AI can address at some tier, and 60% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 16,780
- Median annual wage
- $54,430
- Middle half of earners
- $46,080 to $62,810
- Projected change, 2024 to 2034
- -2.3%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders 78% skill overlap, about 8 months to move Exposure22
- Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic 73% skill overlap, about 10 months to move Exposure15
- Pourers and Casters, Metal 71% skill overlap, about 10 months to move Exposure16
- Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic 68% skill overlap, about 11 months to move Exposure20
- Forging Machine Setters, Operators, and Tenders, Metal and Plastic 66% skill overlap, about 12 months to move Exposure21
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Metal-Refining Furnace Operators and Tenders and AI
Will AI replace Metal-Refining Furnace Operators and Tenders?
AI already handles 1 of the 15 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 22 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -2.3% from 2024 to 2034.
What is the AI exposure of Metal-Refining Furnace Operators and Tenders?
22 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 15 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 15 are estimated from each task's O*NET work activity.
Which Metal-Refining Furnace Operators and Tenders tasks can AI already do?
The tasks with the highest exposure are: Draw smelted metal samples from furnaces or kettles for analysis, and calculate types and amounts of materials needed to ensure that materials meet specifications. It is the only task that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 33% of the role's importance-weighted task work, and 60% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Metal-Refining Furnace Operators and Tenders, and what do they earn?
16,780 people in the United States, with a median annual wage of $54,430 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -2.3% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Metal-Refining Furnace Operators and Tenders. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/metal-refining-furnace-operators-and-tenders
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