Will AI replace Pourers and Casters, Metal?
AI reaches little of this job’s work.
0/100
Low exposure
More exposed to AI than 2% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 0% of the work
What the job involves
Operate hand-controlled mechanisms to pour and regulate the flow of molten metal into molds to produce castings or ingots.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Out of reach(16)
- Pour and regulate the flow of molten metal into molds and forms to produce ingots or other castings, using ladles or hand-controlled mechanisms.
- Skim slag or remove excess metal from ingots or equipment, using hand tools, strainers, rakes, or burners, collecting scrap for recycling.
- Collect samples, or signal workers to sample metal for analysis.
- Load specified amounts of metal and flux into furnaces or clay crucibles.
- Read temperature gauges and observe color changes, adjusting furnace flames, torches, or electrical heating units as necessary to melt metal to specifications.
and 11 more
Also called
Caster · Pourer · Iron Pourer · Busher · Ingot Header · Ladle Pourer · Steel Pourer · Melter
Related jobs
- Forging Machine Setters, Operators, and Tenders, Metal and Plastic6/100
- Molders, Shapers, and Casters, Except Metal and Plastic2/100
- Grinding and Polishing Workers, Hand6/100
- Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic4/100
- Rolling Machine Setters, Operators, and Tenders, Metal and Plastic7/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics