塗装工(建設・メンテナンス)

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

    出典データセット(XLSX ファイルのダウンロード)

  • 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

    観測エクスポージャー指数、公開されたまま0–1

    O*NETタスクへの対応づけが基準

    出典データセット

  • 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。

    出典データセット

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.

TaskβE1 + 0.5 × E2
Calculate amounts of required materials and estimate costs, based on surface measurements or work orders.

O*NET Task ID 11515

1.0
Cover surfaces with dropcloths or masking tape and paper to protect surfaces during painting.

O*NET Task ID 11511

0.0
Fill cracks, holes, or joints with caulk, putty, plaster, or other fillers, using caulking guns or putty knives.

O*NET Task ID 11512

0.0
Apply primers or sealers to prepare new surfaces, such as bare wood or metal, for finish coats.

O*NET Task ID 11513

0.0
Apply paint, stain, varnish, enamel, or other finishes to equipment, buildings, bridges, or other structures, using brushes, spray guns, or rollers.

O*NET Task ID 11514

0.0
Read work orders or receive instructions from supervisors or homeowners to determine work requirements.

O*NET Task ID 11516

0.0
Erect scaffolding or swing gates, or set up ladders, to work above ground level.

O*NET Task ID 11517

0.0
Remove fixtures such as pictures, door knobs, lamps, or electric switch covers prior to painting.

O*NET Task ID 11518

0.0
Wash and treat surfaces with oil, turpentine, mildew remover, or other preparations, and sand rough spots to ensure that finishes will adhere properly.

O*NET Task ID 11519

0.0
Mix and match colors of paint, stain, or varnish with oil or thinning and drying additives to obtain desired colors and consistencies.

O*NET Task ID 11520

0.0
Remove old finishes by stripping, sanding, wire brushing, burning, or using water or abrasive blasting.

O*NET Task ID 11521

0.0
Select and purchase tools or finishes for surfaces to be covered, considering durability, ease of handling, methods of application, and customers' wishes.

O*NET Task ID 11522

0.0
Smooth surfaces, using sandpaper, scrapers, brushes, steel wool, or sanding machines.

O*NET Task ID 11523

0.0
Polish final coats to specified finishes.

O*NET Task ID 11524

0.0
Use special finishing techniques such as sponging, ragging, layering, or faux finishing.

O*NET Task ID 11525

0.0
Waterproof buildings, using waterproofers or caulking.

O*NET Task ID 11526

0.0
Cut stencils and brush or spray lettering or decorations on surfaces.

O*NET Task ID 11527

0.0
Spray or brush hot plastics or pitch onto surfaces.

O*NET Task ID 11528

0.0
Bake finishes on painted or enameled articles, using baking ovens.

O*NET Task ID 11529

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

職業情報