Will AI replace Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders?
AI reaches little of this job’s work.
4/100
Low exposure
More exposed to AI than 10% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 7% of the work
What the job involves
Operate or tend heating equipment other than basic metal, plastic, or food processing equipment. Includes activities such as annealing glass, drying lumber, curing rubber, removing moisture from materials, or boiling soap.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(1)
- Record gauge readings, test results, and shift production in log books.
Out of reach(16)
- Confer with supervisors or other equipment operators to report equipment malfunctions or to resolve production problems.
- Monitor equipment operation, gauges, and panel lights to detect deviations from standards.
- Press and adjust controls to activate, set, and regulate equipment according to specifications.
- Read and interpret work orders and instructions to determine work assignments, process specifications, and production schedules.
- Examine or test samples of processed substances, or collect samples for laboratory testing, to ensure conformance to specifications.
and 11 more
Also called
Burner · Furnace Operator · Kiln Operator · Drier · Dry Kiln Operator · Ager Operator · Annealer · Autoclave Operator
Related jobs
- Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders9/100
- Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders5/100
- Metal-Refining Furnace Operators and Tenders4/100
- Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic5/100
- Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders8/100
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