Occupation · SOC 47-4099.03
Perform a variety of activities to weatherize homes and make them more energy efficient. Duties include repairing windows, insulating ducts, and performing heating, ventilating, and air-conditioning (HVAC) work. May perform energy audits and advise clients on energy conservation measures.
Also called: Field Technician · Weatherization Installer · Weatherization Technician · Weatherization Worker · Energy Administrator · Weatherization and Housing Inspector · Air Sealing Technician · Building Energy Retrofit Technician · Compounding Technician · Field Weatherization Specialist · Glass Sealing Technician · Home Weatherizing Worker
Job family: Construction and Extraction Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-47-4099-03/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Low | 23rd | -0.9 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 29th | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.2), and including AI-powered software (γ 0.3). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Explain recommendations, policies, procedures, requirements, or other related information to residents or building owners. | 0.5% |
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Building Frame and Related Trades Workers Not Elsewhere Classified · 7119 | 9% | Not exposed |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Typical AI autonomy | 3.0 / 5 · higher = AI acts more independently |
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Explain recommendations, policies, procedures, requirements, or other related information to residents or building owners. | — | 0.3% |
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Explain recommendations, policies, procedures, requirements, or other related information to residents or building owners. | 97.0% |
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
Help me explain recommendations, policies, procedures, requirements, or other related information to residents or building owners. From: Explain recommendations, policies, procedures, requirements, or other related information to residents or building owners. · 0.3% of measured AI use
All 20 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Near Vision | 4.0 | |
| Problem Sensitivity | 3.9 | |
| Manual Dexterity | 3.8 | |
| Oral Comprehension | 3.3 | |
| Oral Expression | 3.3 | |
| Information Ordering | 3.3 | |
| Arm-Hand Steadiness | 3.3 | |
| Flexibility of Closure | 3.1 | |
| Visualization | 3.1 | |
| Multilimb Coordination | 3.1 | |
| Trunk Strength | 3.1 | |
| Extent Flexibility | 3.1 | |
| Far Vision | 3.1 | |
| Depth Perception | 3.1 |
| Monitoring | 3.4 | |
| Critical Thinking | 3.3 | |
| Active Listening | 3.1 | |
| Speaking | 3.1 | |
| Reading Comprehension | 3.0 |
| Installation | 3.3 | |
| Judgment and Decision Making | 3.3 | |
| Operations Monitoring | 3.1 | |
| Systems Analysis | 3.1 | |
| Coordination | 3.0 | |
| Service Orientation | 3.0 | |
| Operation and Control | 3.0 | |
| Troubleshooting | 3.0 | |
| Quality Control Analysis | 3.0 | |
| Systems Evaluation | 3.0 | |
| Time Management | 3.0 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 41.
| Example | Category | |
|---|---|---|
| Microsoft Excel | Spreadsheet software | Hot technology In demand |
| Microsoft Office software | Office suite software | Hot technology In demand |
| Microsoft Outlook | Electronic mail software | Hot technology In demand |
| Microsoft Access | Data base user interface and query software | Hot technology |
| Microsoft PowerPoint | Presentation software | Hot technology |
| Microsoft Project | Project management software | Hot technology |
| Microsoft Windows | Operating system software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| SAP software | Enterprise resource planning ERP software | Hot technology |
| Database software | Data base user interface and query software | |
| Energy auditing software | Analytical or scientific software | |
| Energy use ratings databases | Data base user interface and query software | |
| Salesforce.com Salesforce CRM | Customer relationship management CRM software | |
| Web browser software | Internet browser software | |
| Work scheduling software | Calendar and scheduling software |
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
Share of people in this occupation at each level of education.
| High School Diploma | 60.9% | |
| Post-Secondary Certificate | 30.4% | |
| Some College Courses | 8.7% |
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 6.0 | |
| Conventional | 4.5 | |
| Investigative | 3.2 | |
| Social | 2.3 | |
| Enterprising | 2.2 | |
| Artistic | 1.5 |
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Weatherization Installers and Technicians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 2nd percentile of 427 international occupations.
Weatherization Installers and Technicians sit at the 24th percentile of AI task overlap among U.S. occupations
Weatherization Installers and Technicians sit at the 24th percentile of AI task overlap among U.S. occupations • Weatherization Installers and Technicians rank in the 24th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) Source: Singulariki — "Weatherization Installers and Technicians". https://singulariki.com/roles/role-47-4099-03 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Weatherization Installers and Technicians." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-47-4099-03
Singulariki. (2026). Weatherization Installers and Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-47-4099-03
@misc{singulariki-role-47-4099-03,
title = {Weatherization Installers and Technicians},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-47-4099-03}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.