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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

    0.14

    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95%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

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
Carry linens, towels, toilet items, and cleaning supplies, using wheeled carts.

O*NET Task ID 9560

0.0
Clean rooms, hallways, lobbies, lounges, restrooms, corridors, elevators, stairways, locker rooms, and other work areas so that health standards are met.

O*NET Task ID 9561

0.0
Empty wastebaskets, empty and clean ashtrays, and transport other trash and waste to disposal areas.

O*NET Task ID 9562

0.0
Replenish supplies, such as drinking glasses, linens, writing supplies, and bathroom items.

O*NET Task ID 9563

0.0
Keep storage areas and carts well-stocked, clean, and tidy.

O*NET Task ID 9564

0.0
Dust and polish furniture and equipment.

O*NET Task ID 9565

0.0
Sweep, scrub, wax, or polish floors, using brooms, mops, or powered scrubbing and waxing machines.

O*NET Task ID 9566

0.0
Clean rugs, carpets, upholstered furniture, and draperies, using vacuum cleaners and shampooers.

O*NET Task ID 9567

0.0
Wash windows, walls, ceilings, and woodwork, waxing and polishing as necessary.

O*NET Task ID 9568

0.0
Hang draperies and dust window blinds.

O*NET Task ID 9569

0.0
Disinfect equipment and supplies, using germicides or steam-operated sterilizers.

O*NET Task ID 9570

0.0
Observe precautions required to protect hotel and guest property and report damage, theft, and found articles to supervisors.

O*NET Task ID 9571

0.0
Wash dishes and clean kitchens, cooking utensils, and silverware.

O*NET Task ID 9573

0.0
Remove debris from driveways, garages, and swimming pool areas.

O*NET Task ID 9574

0.0
Sort clothing and other articles, load washing machines, and iron and fold dried items.

O*NET Task ID 9575

0.0
Run errands, such as taking laundry to the cleaners and buying groceries.

O*NET Task ID 9576

0.0
Sort, count, and mark clean linens and store them in linen closets.

O*NET Task ID 9577

0.0
Polish silver accessories and metalwork, such as fixtures and fittings.

O*NET Task ID 9578

0.0
Prepare rooms for meetings and arrange decorations, media equipment, and furniture for social or business functions.

O*NET Task ID 9579

0.0
Request repair services and wait for repair workers to arrive.

O*NET Task ID 9581

0.0
Replace light bulbs.

O*NET Task ID 9582

0.0
Assign duties to other staff and give instructions regarding work methods and routines.

O*NET Task ID 9583

0.0
Answer telephones and doorbells.

O*NET Task ID 9585

0.0
Deliver television sets, ironing boards, baby cribs, and rollaway beds to guests' rooms.

O*NET Task ID 9586

0.0
Move and arrange furniture and turn mattresses.

O*NET Task ID 9587

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