Will AI replace metal-refining furnace operators and tenders?

Some tasks are already handled by AI or machines; the rest still needs a person. About 3h 54m of an 8-hour shift goes to tasks that AI or robots largely take over. The other 4h 5m (51%) stays with people. Separately, BLS expects about 2.9% fewer of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

For some tasks, yes. Robots have done 6 of this job's tasks in workplaces like this one, about 3h 54m of a typical shift. 6 more tasks have only been done in factory setups built around the machine, so they stay with people here.

• Regulate supplies of fuel and air, or control flow of electric current and water coolant to heat furnaces and adjust temperatures. (1h 14m a shift; e.g. Danieli Q-Melt automatic furnace (Q-Reg electrode regulator, LINDARC off-gas analyzer, Melt-Model), in use)
• Observe air and temperature gauges or metal color and fluidity, and turn fuel valves or adjust controls to maintain required temperatures. (1h 3m a shift; e.g. LiquiRob, in use)
• Draw smelted metal samples from furnaces or kettles for analysis, and calculate types and amounts of materials needed to ensure that materials meet specifications. (40m a shift; e.g. LiquiRob, in use)
• Inspect furnaces and equipment to locate defects and wear. (29m a shift; e.g. Spot with thermal camera payload + Orbit fleet management, in use)

4h 5m of a typical shift, or 51%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Drain, transfer, or remove molten metal from furnaces, and place it into molds, using hoists, pumps, or ladles. (57m a shift)
• Record production data, and maintain production logs. (34m a shift)
• Operate controls to move or discharge metal workpieces from furnaces. (34m a shift)
• Kindle fires, and shovel fuel and other materials into furnaces or onto conveyors by hand, with hoists, or by directing crane operators. (34m a shift)
• Weigh materials to be charged into furnaces, using scales. (29m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 98% work in very hot or cold conditions at least weekly
• 92% use their hands on tools, objects or controls more than half the time
• 64% carry high or very high responsibility for other workers' safety

On Indeed, job postings in the Production & Manufacturing sector are at 124% of their February 2020 level (all U.S. postings: 104%), up 12.6% from a year earlier, as of Oct 9, 2026. BLS separately expects about 1,400 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $54,430 a year ($26.17 an hour), 7% above the median for all U.S. jobs ($50,980). Most people in this job earn between $39,200 and $74,470 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects a decline of 2.9% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 16,000 jobs in 2035. Even so, it expects about 1,400 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 17,000 people in the U.S., roughly 0.01% of all workers (BLS, May 2025). That makes it the 579th largest of the 796 jobs on this site. BLS expects about 16,000 in 2035.

The most common requirement is a high school diploma: about 64% of people in the job said so in the official O*NET survey. O*NET rates the job at level 2 of 5 for preparation, which usually means: high school diploma, some training. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Operations Monitoring, Operation and Control, Quality Control Analysis, Monitoring
• Get strong at the parts of the job that stay with people (listed above), which take 4h 5m of a typical shift
• Tools employers list: Microsoft Excel, Microsoft Office software

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers (2h 36m touched, $46k median pay)
• Adhesive Bonding Machine Operators and Tenders (1h 8m touched, $46k median pay)
• Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic (18m touched, $49k median pay)
• Petroleum Pump System Operators, Refinery Operators, and Gaugers (3h 7m touched, $97k median pay)
• Cutting and Slicing Machine Setters, Operators, and Tenders (1h 19m touched, $47k median pay)

Each task carries its own evidence label. For this job: 6 with robots in real deployments, 9 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.