壁紙張り職人
建設・メンテナンス・修理AI露出度
- データ出典: BLS公表時点: 2026-08
低い· 相対
低い4段階の相対区分非常に高い職業群単位の値
尺度・母数・出典
4段階の相対区分（低い / 中程度 / 高い / 非常に高い）
BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります
- データ出典: Anthropic公表時点: 2026-03
0.000
0.000ここに掲載された値の範囲0.745尺度・母数・出典
- データ出典: ILO公表時点: 2025
0.13
0.09ここに掲載された値の範囲0.70職業群単位の値
尺度・母数・出典
生成AI露出度指数、公開されたまま0–1
ISCO-08の職業小分類単位 — 同じコードの職業はすべて同じ値
当サイトの算出であり、ILOが公表した数値ではありません。当サイトがILOデータセットに結び付けた職業1,012件のうち、この値以上のものは97%です。
この出典がどのような性格の値か
BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。
Task-level exposure
露出のある作業のみ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 |
|---|---|
Measure surfaces or review work orders to estimate the quantities of materials needed.O*NET Task ID 14916 | 0.5 |
Smooth strips or sections of paper with brushes or rollers to remove wrinkles and bubbles and to smooth joints.O*NET Task ID 14906 | 0.0 |
Trim rough edges from strips, using straightedges and trimming knives.O*NET Task ID 14907 | 0.0 |
Trim excess material at ceilings or baseboards, using knives.O*NET Task ID 14908 | 0.0 |
Check finished wallcoverings for proper alignment, pattern matching, and neatness of seams.O*NET Task ID 14909 | 0.0 |
Mark vertical guidelines on walls to align strips, using plumb bobs and chalk lines.O*NET Task ID 14910 | 0.0 |
Cover interior walls and ceilings of rooms with decorative wallpaper or fabric, using hand tools.O*NET Task ID 14911 | 0.0 |
Apply adhesives to the backs of paper strips, using brushes, or dunk strips of prepasted wallcovering in water, wiping off any excess adhesive.O*NET Task ID 14912 | 0.0 |
Measure and cut strips from rolls of wallpaper or fabric, using shears or razors.O*NET Task ID 14913 | 0.0 |
Place strips or sections of paper on surfaces, aligning section edges and patterns.O*NET Task ID 14914 | 0.0 |
Fill holes, cracks, and other surface imperfections preparatory to covering surfaces.O*NET Task ID 14915 | 0.0 |
Apply sizing to seal surfaces and maximize adhesion of coverings to surfaces.O*NET Task ID 14917 | 0.0 |
Smooth rough spots on walls and ceilings, using sandpaper.O*NET Task ID 14918 | 0.0 |
Set up equipment, such as pasteboards and scaffolds.O*NET Task ID 14919 | 0.0 |
Remove old paper, using water, steam machines, or solvents and scrapers.O*NET Task ID 14920 | 0.0 |
Apply thinned glue to waterproof porous surfaces, using brushes, rollers, or pasting machines.O*NET Task ID 14921 | 0.0 |
Mix paste, using paste powder and water, and brush paste onto surfaces.O*NET Task ID 14922 | 0.0 |
Staple or tack advertising posters onto fences, walls, billboards, or poles.O*NET Task ID 14923 | 0.0 |
Remove paint, varnish, dirt, and grease from surfaces, using paint remover and water soda solutions.O*NET Task ID 14924 | 0.0 |
Apply acetic acid to damp plaster to prevent lime from bleeding through paper.O*NET Task ID 14925 | 0.0 |
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®, Eloundou et al. (2023): see full notices on the Credits page