Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They install and maintain insulation around pipes and equipment to keep systems energy-efficient and prevent heat loss.
Summary
Mechanical insulation work is considered stable because it relies heavily on hands-on tasks like measuring, cutting, and fitting insulation, which are difficult for robots to handle. Most of the work must be done by skilled workers to ensure safety and proper fit.
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Summary
Mechanical insulation work is considered stable because it relies heavily on hands-on tasks like measuring, cutting, and fitting insulation, which are difficult for robots to handle. Most of the work must be done by skilled workers to ensure safety and proper fit.
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AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Insulation Workers, Mech
Updated Quarterly • Last Update: 11/22/2025

State of Automation & Augmentation
Right now, most mechanical insulation work is still done by people. O*NET (a U.S. job info source) rates insulation work as only about 16% automated [1] – meaning machines have not taken over. The job involves a lot of hands-on work (moving heavy sheets, climbing around pipes, cutting shapes) which robots don’t handle easily [1] [1].
In practice, tools like saws and scissors are still used. So far there aren’t common AI or robots that measure and cut insulation on site – workers usually do that. A few cutting-edge robots have been built for special cases.
For example, a UK company “Q-Bot” has a robot that injects insulation under floors and inside solid walls to save labor and costs [2]. In the U.S., a startup called Spray-R built a factory robot that sprays foam insulation onto wall panels automatically [3] [3]. These examples show AI/robots promise more efficiency, but they are used off-site or in labs.
In normal jobs, a trained insulation pro still makes decisions on fit and safety. Industry experts emphasize that proper insulation must be installed by skilled workers following standards [4]. In short, machines have begun to help (in special settings) but most core tasks – measuring, shaping, sealing – remain human work.
AI tools can help in planning (for example, some software can analyze data to recommend the best insulation material by cost and performance [4]), but the actual cutting and fitting are still done by people right now.

AI Adoption
Insulation contractors are cautious about adopting new AI or robotics. Construction work is risky and often low-margin, so companies want proof a new tool will pay off. As the trade press notes, construction “has little room for error and even less cash to invest in poor tech” [4].
Buying expensive robots or AI software is a big investment. Because of this, adoption is slow. On the plus side, there is a labor shortage in construction that could push companies to use more tech [4].
Workers are in demand (insulation jobs are expected to grow faster than average – about 5–6% over the next ten years [1]), so firms are looking for ways to work smarter without overstaffing. AI can help with planning and design: for example, some planning tools use AI to estimate how much material is needed and pick the right product for energy efficiency [4]. But putting insulation on pipes and ducts is a complicated, one-off task on each job.
A Heavy machine that works well in a factory (like Spray-R’s wall-panel sprayer) may not work easily on a busy job site. Builders say they’ll use automation only once it clearly saves time or improves quality. For example, the housing industry report on Spray-R notes builders want innovation but are “loath to be guinea pigs” until costs drop [3] [3].
Overall, AI is likely to be introduced bit by bit. We can expect more digital tools (like 3D models or project software) and training aids (VR/AR learning), which augment a worker’s skill. Important human skills – problem solving, adapting to each unique situation, and craftsmanship – will remain valuable.
In a nutshell, insulation work will probably be done by people for a long time, but AI and robots may help with planning or hard tasks, making construction safer and faster without fully replacing the crew [4] [1].

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Median Wage
$57,250
Jobs (2024)
27,200
Growth (2024-34)
+4.7%
Annual Openings
2,300
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Remove or seal off old asbestos insulation, following safety procedures.
Fit insulation around obstructions, and shape insulating materials and protective coverings as required.
Install sheet metal around insulated pipes with screws to protect the insulation from weather conditions or physical damage.
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.
Measure and cut insulation for covering surfaces, using tape measures, handsaws, knives, and scissors.
Determine the amounts and types of insulation needed, and methods of installation, based on factors such as location, surface shape, and equipment use.
Select appropriate insulation, such as fiberglass, Styrofoam, or cork, based on the heat retaining or excluding characteristics of the material.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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