Will AI replace metal pourers and casters?

Some tasks are already being done by AI or machines; the rest still needs a person. About 2h 54m of a typical shift is made up of tasks that AI or robots have done on their own in real use somewhere. That doesn't mean those hours are automated in a typical workplace. The other 5h 6m (64%) stays with people. Separately, BLS expects about 5% 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 2h 54m of a typical shift. 9 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 1 physical task, no robot has shown it can do the work yet.

• Read temperature gauges and observe color changes, adjusting furnace flames, torches, or electrical heating units as necessary to melt metal to specifications. (48m a shift; e.g. Q-Melt automatic EAF (Melt Model, Q-Reg, LINDARC), in use)
• Load specified amounts of metal and flux into furnaces or clay crucibles. (42m a shift; e.g. RiA rail-mounted autonomous furnace charging machine (with Fioscope smart cameras), in use)
• Skim slag or remove excess metal from ingots or equipment, using hand tools, strainers, rakes, or burners, collecting scrap for recycling. (36m a shift; e.g. RIA autonomous furnace charging and skimming machines, in use)
• Transport metal ingots to storage areas, using forklifts. (24m a shift; e.g. Seegrid Palion / Lift RS1 autonomous mobile robots, in use)

5h 6m of a typical shift, or 64%, 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:

• Pour and regulate the flow of molten metal into molds and forms to produce ingots or other castings, using ladles or hand-controlled mechanisms. (1h 48m a shift)
• Position equipment such as ladles, grinding wheels, pouring nozzles, or crucibles, or signal other workers to position equipment. (36m a shift)
• Examine molds to ensure they are clean, smooth, and properly coated. (30m a shift)
• Remove metal ingots or cores from molds, using hand tools, cranes, and chain hoists. (30m a shift)
• Remove solidified steel or slag from pouring nozzles, using long bars or oxygen burners. (24m 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:

• 67% work in very hot or cold conditions at least weekly
• 53% spend more than half the day walking or moving

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 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 $51,810 a year ($24.91 an hour), 2% above the median for all U.S. jobs ($50,980). Most people in this job earn between $38,480 and $72,040 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 5% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 4,300 jobs in 2035. Even so, it expects about 400 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 4,560 people in the U.S., roughly 0.00% of all workers (BLS, May 2025). That makes it the 735th largest of the 796 jobs on this site. BLS expects about 4,300 in 2035.

The most common requirement is a high school diploma: about 80% 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: Operation and Control, Operations Monitoring, Judgment and Decision Making, Monitoring
• Get strong at the parts of the job that stay with people (listed above), which take 5h 6m of a typical shift
• Tools employers list: Microsoft Excel, Microsoft Outlook, Microsoft PowerPoint, Microsoft Word

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:

• Sawing Machine Setters, Operators, and Tenders, Wood (0m touched, $43k median pay)
• Sewing Machine Operators (19m touched, $37k median pay)
• Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic (1h 19m touched, $46k median pay)
• Refractory Materials Repairers (20m touched, $61k median pay)
• Textile Cutting Machine Setters, Operators, and Tenders (2h 11m touched, $39k median pay)

Each task carries its own evidence label. For this job: 6 with robots in real deployments, 10 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.