港湾労働者
輸送・資材運搬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
0.14
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。
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 |
|---|---|
Record numbers of units handled or moved, using daily production sheets or work tickets.O*NET Task ID 10780 | 1.0 |
Attach identifying tags to containers or mark them with identifying information.O*NET Task ID 10778 | 0.0 |
Read work orders or receive oral instructions to determine work assignments or material or equipment needs.O*NET Task ID 10779 | 0.0 |
Move freight, stock, or other materials to and from storage or production areas, loading docks, delivery vehicles, ships, or containers, by hand or using trucks, tractors, or other equipment.O*NET Task ID 10781 | 0.0 |
Sort cargo before loading and unloading.O*NET Task ID 10782 | 0.0 |
Pack containers and re-pack damaged containers.O*NET Task ID 10786 | 0.0 |
Carry needed tools or supplies from storage or trucks and return them after use.O*NET Task ID 10787 | 0.0 |
Install protective devices, such as bracing, padding, or strapping, to prevent shifting or damage to items being transported.O*NET Task ID 10788 | 0.0 |
Maintain equipment storage areas to ensure that inventory is protected.O*NET Task ID 10789 | 0.0 |
Attach slings, hooks, or other devices to lift cargo and guide loads.O*NET Task ID 10790 | 0.0 |
Carry out general yard duties, such as performing shunting on railway lines.O*NET Task ID 10791 | 0.0 |
Adjust controls to guide, position, or move equipment, such as cranes, booms, or cameras.O*NET Task ID 10792 | 0.0 |
Guide loads being lifted to prevent swinging.O*NET Task ID 10793 | 0.0 |
Adjust or replace equipment parts, such as rollers, belts, plugs, or caps, using hand tools.O*NET Task ID 10794 | 0.0 |
Stack cargo in locations, such as transit sheds or in holds of ships as directed, using pallets or cargo boards.O*NET Task ID 10795 | 0.0 |
Connect electrical equipment to power sources so that it can be tested before use.O*NET Task ID 10796 | 0.0 |
Bundle and band material such as fodder or tobacco leaves, using banding machines.O*NET Task ID 10798 | 0.0 |
Rig or dismantle props or equipment, such as frames, scaffolding, platforms, or backdrops, using hand tools.O*NET Task ID 10799 | 0.0 |
Direct spouts and position receptacles, such as bins, carts, or containers, so they can be loaded.O*NET Task ID 10801 | 0.0 |
Wash out cargo containers or storage areas.O*NET Task ID 10804 | 0.0 |
Shovel material, such as gravel, ice, or spilled concrete, into containers or bins or onto conveyors.O*NET Task ID 10806 | 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