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AI exposure Production

Will AI replace metal-refining furnace operators and tenders?

Metal-Refining Furnace Operators and Tenders. US occupation 51-4051.

0.0%

of the time metal-refining furnace operators and tenders spend on their work goes on tasks where AI is already being used to do that work.of metal-refining furnace operators and tenders' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for metal-refining furnace operators and tendersWhat metal-refining furnace operators and tenders no longer do alone

O*NET lists 15 tasks for metal-refining furnace operators and tenders. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

15 of the 15 tasks show no AI use at work in the data.

  • Drain, transfer, or remove molten metal from furnaces, and place it into molds, using hoists, pumps, or ladles.Core task
  • Draw smelted metal samples from furnaces or kettles for analysis, and calculate types and amounts of materials needed to ensure that materials meet specifications.Core task
  • Inspect furnaces and equipment to locate defects and wear.Core task
  • Kindle fires, and shovel fuel and other materials into furnaces or onto conveyors by hand, with hoists, or by directing crane operators.Core task
  • Observe air and temperature gauges or metal color and fluidity, and turn fuel valves or adjust controls to maintain required temperatures.Core task
  • Operate controls to move or discharge metal workpieces from furnaces.Core task
Show the other 9
  • Record production data, and maintain production logs.Core task
  • Regulate supplies of fuel and air, or control flow of electric current and water coolant to heat furnaces and adjust temperatures.Core task
  • Weigh materials to be charged into furnaces, using scales.Core task
  • Direct work crews in the cleaning and repair of furnace walls and flooring.
  • Observe operations inside furnaces, using television screens, to ensure that problems do not occur.
  • Prepare material to load into furnaces, including cleaning, crushing, or applying chemicals, by using crushing machines, shovels, rakes, or sprayers.
  • Remove impurities from the surface of molten metal, using strainers.
  • Scrape accumulations of metal oxides from floors, molds, and crucibles, and sift and store them for reclamation.
  • Sprinkle chemicals over molten metal to bring impurities to the surface.

How that compares

Among the 98 production occupations, metal-refining furnace operators and tenders rank 58. The group averages 0.8%, and its most exposed job is Computer Numerically Controlled Tool Programmers at 12.1%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Medical Equipment Repairers 0.0%
  2. 346Mental Health and Substance Abuse Social Workers 0.0%
  3. 346Merchandise Displayers and Window Trimmers 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.