Insulation workers: AI exposure and career outlook
Insulation workers (SOC 47-2130) sit at the 35th percentile for measured AI exposure among the 342 occupations tracked here, measured from a composite of Microsoft Research and Anthropic Economic Index telemetry. An estimated 18% of tasks are already automated and 39% are being reshaped rather than replaced — both modelled figures, not direct measurements. No measured automation-versus-augmentation split has been published for this occupation, so we do not place it on that axis at all. It is measurably exposed; which way that resolves is something we do not know, and would rather say than guess. In Canada the role maps to NOC 72321 (Insulators), and ESDC's COPS 2024–2033 outlook for that unit group is balance.
Figures last updated 2026-06. Every number on this page is labelled measured or modelled; where a source has no coverage for this occupation, it says so rather than showing a zero.
Key facts
- SOC code
- 47-2130
- Canada NOC 2021
- 72321
- TEER level
- 2 — College / Apprenticeship 2+ yrs
- COPS outlook
- Balance
What the measurements actually say
Three independent studies measure AI exposure for this occupation directly. The two percentages below them are ours, modelled from those measurements.
| Metric | Value | Provenance |
|---|---|---|
| AI applicability | 11% | Measured — Microsoft Research, from 200,000 Copilot conversations classified against O*NET work activities. Occupation-group average of 2 detailed roles. |
| Observed AI usage | 2% | Measured — Anthropic Economic Index, share of tasks observed being performed with Claude (CC-BY 4.0). Occupation-group average of 2 detailed roles. |
| Academic AI exposure | 6th percentile | Measured — Felten-Raj-Seamans AIOE index across 774 occupations; the index underlying Statistics Canada's Canadian estimates. Occupation-group average of 2 detailed roles. |
| Automation-pattern usage | Not available | Not covered by Anthropic's collaboration-mode dataset. |
| Augmentation-pattern usage | Not available | Not covered by Anthropic's collaboration-mode dataset. |
| Estimated task automation (modelled) | 18% | Modelled from this occupation's measured telemetry composite, mapped through anchors calibrated to Anthropic's published aggregate findings. Our estimate, not per-occupation telemetry. |
| Estimated task reshaping (modelled) | 39% | Share of tasks where AI acts as co-pilot rather than replacement. Modelled from the measured telemetry composite, calibrated to BCG's published aggregate reshaping rates. Our estimate. |
AI is transforming how this work is done. Professionals who adapt their workflows will thrive; those who don't face increasing competition.
In Canada: NOC 72321
Insulation workers map to NOC 72321 — Insulators at TEER 2 (College / Apprenticeship 2+ yrs). ESDC's COPS 2024–2033 projection for this unit group is Balance.
Mapped via Statistics Canada's official SOC 2018 → NOC 2016 → NOC 2021 correspondence tables. TEER is the second digit of the official NOC code, so it cannot disagree with it.
What this job actually involves
These are the O*NET task statements for Insulation workers— the work itself, as reported by people doing the job — grouped by the work activity each task belongs to. Showing 12 of 18, core tasks first.
The exposure figures above are for the occupation as a whole. We do not have a per-task measurement: no published dataset tells us which of these specific tasks AI is doing. Read this as what the job is made of, not as a ranking of what is at risk.
Microsoft's applicability score was itself produced by classifying Copilot conversations against the O*NET work-activity catalogue — the same catalogue these groups come from. The published file gives one number per occupation, not one per activity, so we can tell you that 11% of this occupation's work activities are covered by observed AI usage, but not which ones.
SOC 47-2130 is a BLS occupation group. These statements are pooled across the 2 detailed occupations in it, so a given task may apply to only some of them.
Handling and Moving Objects · 6 tasks
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.
Core task · Importance 4.4/5 (O*NET) · reported by 1 of 2 occupations in this group
Fit insulation around obstructions, and shape insulating materials and protective coverings as required.
Core task · Importance 4.4/5 (O*NET) · reported by 1 of 2 occupations in this group
Cover, seal, or finish insulated surfaces or access holes with plastic covers, canvas strips, sealants, tape, cement, or asphalt mastic.
Core task · Importance 4.2/5 (O*NET) · reported by 1 of 2 occupations in this group
Install sheet metal around insulated pipes with screws to protect the insulation from weather conditions or physical damage.
Core task · Importance 4.2/5 (O*NET) · reported by 1 of 2 occupations in this group
Fit, wrap, staple, or glue insulating materials to structures or surfaces, using hand tools or wires.
Core task · Importance 4.0/5 (O*NET) · reported by 1 of 2 occupations in this group
Cover and line structures with blown or rolled forms of materials to insulate against cold, heat, or moisture, using saws, knives, rasps, trowels, blowers, or other tools and implements.
Core task · Importance 4.0/5 (O*NET) · reported by 1 of 2 occupations in this group
Estimating the Quantifiable Characteristics of Products, Events, or Information · 2 tasks
Measure and cut insulation for covering surfaces, using tape measures, handsaws, knives, and scissors.
Core task · Importance 4.7/5 (O*NET) · reported by 1 of 2 occupations in this group
Measure and cut insulation for covering surfaces, using tape measures, handsaws, power saws, knives, or scissors.
Core task · Importance 4.0/5 (O*NET) · reported by 1 of 2 occupations in this group
Making Decisions and Solving Problems · 2 tasks
Select appropriate insulation, such as fiberglass, Styrofoam, or cork, based on the heat retaining or excluding characteristics of the material.
Core task · Importance 4.4/5 (O*NET) · reported by 1 of 2 occupations in this group
Determine the amounts and types of insulation needed, and methods of installation, based on factors such as location, surface shape, and equipment use.
Core task · Importance 4.3/5 (O*NET) · reported by 1 of 2 occupations in this group
Getting Information · 1 task
Read blueprints and specifications to determine job requirements.
Core task · Importance 4.2/5 (O*NET) · reported by 1 of 2 occupations in this group
Performing General Physical Activities · 1 task
Prepare surfaces for insulation application by brushing or spreading on adhesives, cement, or asphalt, or by attaching metal pins to surfaces.
Core task · Importance 4.1/5 (O*NET)
Task statements and work activities from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under CC BY 4.0. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not reviewed or approved this material.
That's the average. Is this you?
Everything above describes Insulation workers as a whole. Three questions, and nothing is stored or sent.
Where are you in your career?
What does your week mostly look like?
Is your employer deploying AI?
Where the leverage is
Upskill in AI-driven automation (e.g., Make, Zapier) and generative tools in your domain. The opportunity is to pivot from execution to directing AI-augmented workflows.
AI is transforming tasks rather than replacing entire jobs. Routine scheduling and communication automate, but human decision-making remains critical.
Obtain technical certifications in advanced diagnostic tools and smart systems relevant to insulation workers to prepare for future technological integrations.
This guidance is written per exposure band — three texts across all 342 occupations, framed on the ILO's transformation-versus-displacement distinction. It is editorial guidance for the reshaping band, not an occupation-specific research finding about insulation workers.
Sources for this occupation
Only the sources that hold data for insulation workers are listed. A study that does not cover this occupation is not cited here.
- Microsoft Research — Working with AI (Tomlinson et al., arXiv:2507.07935): Measured AI applicability, from 200,000 anonymised Copilot conversations classified against O*NET work activities.
- Anthropic Economic Index: Measured observed AI usage per occupation, from Anthropic's open per-SOC dataset (CC-BY 4.0).
- Felten, Raj & Seamans — AI Occupational Exposure index: Measured academic exposure percentile; the index underlying Statistics Canada's Canadian AI-exposure estimates (Mehdi & Morissette, 2024).
- O*NET Database 31.0 (USDOL/ETA), CC BY 4.0: The occupation's task statements and work activities, verbatim. Joined on SOC 2018 with no crosswalk — O*NET-SOC is built on SOC — and carrying no claim about which tasks AI touches.
- Statistics Canada NOC 2021 concordance: Official SOC 2018 → NOC 2016 V1.3 → NOC 2021 V1.0 correspondence tables. TEER is the second digit of the resolved code, so we report it only where the concordance gave a single candidate.
- ESDC COPS 2024–2033: Projected labour-market assessment per NOC 2021 unit group, from the Canadian Occupational Projection System open dataset.
- BCG — AI Will Reshape More Jobs Than It Replaces (April 3, 2026): Published aggregate reshaping rates, used to calibrate our modelled percentages. The per-occupation figures here are our estimates, not BCG's data.
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This is the picture for the role. What about your skills?
These numbers describe an occupation, not a person. Map your own skills against them, see which pathways stay open, and plan the transition you actually want.