Will AI replace Insulation Workers, Mechanical?
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
- 10% of the work
- As AI tools mature: up to
- 11% of the work
What the job involves
Apply insulating materials to pipes or ductwork, or other mechanical systems in order to help control and maintain temperature.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(1)
- Read blueprints and specifications to determine job requirements.
Out of reach(8)
- Measure and cut insulation for covering surfaces, using tape measures, handsaws, knives, and scissors.
- Fit insulation around obstructions, and shape insulating materials and protective coverings as required.
- Apply, remove, and repair insulation on industrial equipment, pipes, ductwork, or other mechanical systems such as heat exchangers, tanks, and vessels, to help control noise and maintain temperatures.
- Select appropriate insulation, such as fiberglass, Styrofoam, or cork, based on the heat retaining or excluding characteristics of the material.
- Determine the amounts and types of insulation needed, and methods of installation, based on factors such as location, surface shape, and equipment use.
and 3 more
Also called
Pipe Insulator · Pipe Coverer · Commercial Insulator · Heat and Frost Insulator · Industrial Insulator · Insulation Mechanic · Insulation Worker · Insulator
Related jobs
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