Will AI replace Chemical Equipment Operators and Tenders?
AI reaches little of this job’s work.
6/100
Low exposure
More exposed to AI than 12% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 9% of the work
What the job involves
Operate or tend equipment to control chemical changes or reactions in the processing of industrial or consumer products. Equipment used includes devulcanizers, steam-jacketed kettles, and reactor vessels.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(2)
- Record operational data, such as temperatures, pressures, ingredients used, processing times, or test results.
- Estimate materials required for production and manufacturing of products.
Out of reach(21)
- Monitor gauges, recording instruments, flowmeters, or products to ensure that specified conditions are maintained.
- Draw samples of products at specified stages so that analyses can be performed.
- Measure, weigh, and mix chemical ingredients, according to specifications.
- Open valves or start pumps, agitators, reactors, blowers, or automatic feed of materials.
- Patrol work areas to detect leaks or equipment malfunctions or to monitor operating conditions.
and 16 more
Also called
Chemical Operator (Chemical Tech) · Chemical Tech · Acid Polymerization Operator · Devulcanizer Tender · MVA Reactor Operator (Monovinylacetylene Reactor Operator) · MVA Reactor Operator · Reactor Operator · Chemical Process Operator
Related jobs
- Chemical Plant and System Operators16/100
- Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic5/100
- Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders8/100
- Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders5/100
- Water and Wastewater Treatment Plant and System Operators13/100
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