鉄道車掌
輸送・資材運搬AI露出度
- データ出典: BLS公表時点: 2026-08
中程度· 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
0.17
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91%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 |
|---|---|
Document and prepare reports of accidents, unscheduled stops, or delays.O*NET Task ID 10703 | 1.0 |
Record departure and arrival times, messages, tickets and revenue collected, and passenger accommodations and destinations.O*NET Task ID 10707 | 1.0 |
Receive information regarding train or rail problems from dispatchers or from electronic monitoring devices.O*NET Task ID 10691 | 0.5 |
Keep records of the contents and destination of each train car, and make sure that cars are added or removed at proper points on routes.O*NET Task ID 10693 | 0.5 |
Receive instructions from dispatchers regarding trains' routes, timetables, and cargoes.O*NET Task ID 10697 | 0.5 |
Review schedules, switching orders, way bills, and shipping records to obtain cargo loading and unloading information and to plan work.O*NET Task ID 10698 | 0.5 |
Confer with engineers regarding train routes, timetables, and cargoes, and to discuss alternative routes when there are rail defects or obstructions.O*NET Task ID 10699 | 0.5 |
Observe yard traffic to determine tracks available to accommodate inbound and outbound traffic.O*NET Task ID 10702 | 0.5 |
Confirm routes and destination information for freight cars.O*NET Task ID 10704 | 0.5 |
Inspect freight cars for compliance with sealing procedures, and record car numbers and seal numbers.O*NET Task ID 10708 | 0.5 |
Signal engineers to begin train runs, stop trains, or change speed, using telecommunications equipment or hand signals.O*NET Task ID 10690 | 0.0 |
Direct and instruct workers engaged in yard activities, such as switching tracks, coupling and uncoupling cars, and routing inbound and outbound traffic.O*NET Task ID 10692 | 0.0 |
Operate controls to activate track switches and traffic signals.O*NET Task ID 10694 | 0.0 |
Instruct workers to set warning signals in front and at rear of trains during emergency stops.O*NET Task ID 10695 | 0.0 |
Direct engineers to move cars to fit planned train configurations, combining or separating cars to make up or break up trains.O*NET Task ID 10696 | 0.0 |
Arrange for the removal of defective cars from trains at stations or stops.O*NET Task ID 10700 | 0.0 |
Inspect each car periodically during runs.O*NET Task ID 10701 | 0.0 |
Supervise and coordinate crew activities to transport freight and passengers and to provide boarding, porter, maid, and meal services to passengers.O*NET Task ID 10705 | 0.0 |
Supervise workers in the inspection and maintenance of mechanical equipment to ensure efficient and safe train operation.O*NET Task ID 10706 | 0.0 |
Collect tickets, fares, or passes from passengers.O*NET Task ID 10709 | 0.0 |
Verify accuracy of timekeeping instruments with engineers to ensure trains depart on time.O*NET Task ID 10710 | 0.0 |
Instruct workers to regulate air conditioning, lighting, and heating in passenger cars to ensure passengers' comfort.O*NET Task ID 10711 | 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