タイル・石材施工士

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

    0.10

    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98%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
Prepare cost and labor estimates, based on calculations of time and materials needed for project.

O*NET Task ID 2854

1.0
Determine and implement the best layout to achieve a desired pattern.

O*NET Task ID 2849

0.5
Measure and mark surfaces to be tiled, following blueprints.

O*NET Task ID 2855

0.5
Study blueprints and examine surface to be covered to determine amount of material needed.

O*NET Task ID 2859

0.5
Align and straighten tile using levels, squares, and straightedges.

O*NET Task ID 2848

0.0
Cut and shape tile to fit around obstacles and into odd spaces and corners, using hand and power cutting tools.

O*NET Task ID 2850

0.0
Finish and dress the joints and wipe excess grout from between tiles, using damp sponge.

O*NET Task ID 2851

0.0
Apply mortar to tile back, position the tile, and press or tap with trowel handle to affix tile to base.

O*NET Task ID 2852

0.0
Mix, apply, and spread plaster, concrete, mortar, cement, mastic, glue or other adhesives to form a bed for the tiles, using brush, trowel and screed.

O*NET Task ID 2853

0.0
Level concrete and allow to dry.

O*NET Task ID 2856

0.0
Build underbeds and install anchor bolts, wires, and brackets.

O*NET Task ID 2857

0.0
Prepare surfaces for tiling by attaching lath or waterproof paper, or by applying a cement mortar coat to a metal screen.

O*NET Task ID 2858

0.0
Cut, surface, polish, and install marble and granite or install pre-cast terrazzo, granite or marble units.

O*NET Task ID 2860

0.0
Install and anchor fixtures in designated positions, using hand tools.

O*NET Task ID 2861

0.0
Cut tile backing to required size, using shears.

O*NET Task ID 2862

0.0
Remove any old tile, grout and adhesive using chisels and scrapers and clean the surface carefully.

O*NET Task ID 2863

0.0
Lay and set mosaic tiles to create decorative wall, mural, and floor designs.

O*NET Task ID 2864

0.0
Assist customers in selection of tile and grout.

O*NET Task ID 2865

0.0
Remove and replace cracked or damaged tile.

O*NET Task ID 2866

0.0
Measure and cut metal lath to size for walls and ceilings, using tin snips.

O*NET Task ID 2867

0.0
Select and order tile and other items to be installed, such as bathroom accessories, walls, panels, and cabinets, according to specifications.

O*NET Task ID 2868

0.0
Mix and apply mortar or cement to edges and ends of drain tiles to seal halves and joints.

O*NET Task ID 2869

0.0
Spread mastic or other adhesive base on roof deck to form base for promenade tile, using serrated spreader.

O*NET Task ID 2870

0.0
Apply a sealer to make grout stain- and water-resistant.

O*NET Task ID 2871

0.0
Brush glue onto manila paper on which design has been drawn and position tiles, finished side down, onto paper.

O*NET Task ID 2872

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