Will AI replace Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic?
AI reaches little of this job’s work.
5/100
Low exposure
More exposed to AI than 11% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 11% of the work
What the job involves
Set up, operate, or tend heating equipment, such as heat-treating furnaces, flame-hardening machines, induction machines, soaking pits, or vacuum equipment to temper, harden, anneal, or heat treat metal or plastic objects.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(3)
- Record times that parts are removed from furnaces to document that objects have attained specified temperatures for specified times.
- Signal forklift operators to deposit or extract containers of parts into and from furnaces and quenching rinse tanks.
- Stamp heat-treatment identification marks on parts, using hammers and punches.
Out of reach(20)
- Set up and operate or tend machines, such as furnaces, baths, flame-hardening machines, and electronic induction machines, that harden, anneal, and heat-treat metal.
- Read production schedules and work orders to determine processing sequences, furnace temperatures, and heat cycle requirements for objects to be heat-treated.
- Instruct new workers in machine operation.
- Adjust controls to maintain temperatures and heating times, using thermal instruments and charts, dials and gauges of furnaces, and color of stock in furnaces to make setting determinations.
- Remove parts from furnaces after specified times, and air dry or cool parts in water, oil brine, or other baths.
and 15 more
Also called
Heat Treater · Heat Treat Operator · Annealer · Heat Treat Furnace Operator · Case Hardener · Hardener · Induction Machine Setter · Temperer
Related jobs
- Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic4/100
- Metal-Refining Furnace Operators and Tenders4/100
- Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders9/100
- Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders8/100
- Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders4/100
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