Weatherization Installers and Technicians
Construction, Maintenance & RepairUnited States · BLS Employment Projections 2025–35: this SOC code is not among the published items.
AI exposure
- Data source: ILOPublished: 2025
0.09
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 100% score at or above this value.
- Data source: OpenAIPublished: 2023
0.200
0.000Range of values carried here0.844Scale, basis and source
Task-level exposure
Show 19 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Explain recommendations, policies, procedures, requirements, or other related information to residents or building owners.47-4099 | 0.0100100.0 | 0.0100100.0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Explain recommendations, policies, procedures, requirements, or other related information to residents or building owners.O*NET Task ID 17802 | 1.0 |
Maintain activity logs, financial transaction logs, or other records of weatherization work performed.O*NET Task ID 17803 | 1.0 |
Prepare or assist in the preparation of bids, contracts, or written reports related to weatherization work.O*NET Task ID 17804 | 1.0 |
Prepare cost estimates or specifications for rehabilitation or weatherization services.O*NET Task ID 17796 | 0.5 |
Contact residents or building owners to schedule appointments.O*NET Task ID 17801 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page