路面電車運転士
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
0.18
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90%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| Task | Claude.aiRaw / share % |
|---|---|
Greet passengers, provide information, and answer questions concerning fares, schedules, transfers, and routings.53-4041 | 0.0164100.0 |
| Not observed on any surface — 11 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Operate controls to open and close transit vehicle doors. | —0 |
Drive and control rail-guided public transportation, such as subways, elevated trains, and electric-powered streetcars, trams, or trolleys, to transport passengers. | —0 |
Monitor lights indicating obstructions or other trains ahead and watch for car and truck traffic at crossings to stay alert to potential hazards. | —0 |
Direct emergency evacuation procedures. | —0 |
Regulate vehicle speed and the time spent at each stop to maintain schedules. | —0 |
Report delays, mechanical problems, and emergencies to supervisors or dispatchers, using radios. | —0 |
Make announcements to passengers, such as notifications of upcoming stops or schedule delays. | —0 |
Complete reports, including shift summaries and incident or accident reports. | —0 |
Attend meetings on driver and passenger safety to learn ways in which job performance might be affected. | —0 |
Collect fares from passengers, and issue change and transfers. | —0 |
Record transactions and coin receptor readings to verify the amount of money collected. | —0 |
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 |
|---|---|
Report delays, mechanical problems, and emergencies to supervisors or dispatchers, using radios.O*NET Task ID 12770 | 1.0 |
Make announcements to passengers, such as notifications of upcoming stops or schedule delays.O*NET Task ID 12771 | 1.0 |
Complete reports, including shift summaries and incident or accident reports.O*NET Task ID 12772 | 1.0 |
Greet passengers, provide information, and answer questions concerning fares, schedules, transfers, and routings.O*NET Task ID 12773 | 1.0 |
Record transactions and coin receptor readings to verify the amount of money collected.O*NET Task ID 12776 | 1.0 |
Operate controls to open and close transit vehicle doors.O*NET Task ID 12765 | 0.0 |
Drive and control rail-guided public transportation, such as subways, elevated trains, and electric-powered streetcars, trams, or trolleys, to transport passengers.O*NET Task ID 12766 | 0.0 |
Monitor lights indicating obstructions or other trains ahead and watch for car and truck traffic at crossings to stay alert to potential hazards.O*NET Task ID 12767 | 0.0 |
Direct emergency evacuation procedures.O*NET Task ID 12768 | 0.0 |
Regulate vehicle speed and the time spent at each stop to maintain schedules.O*NET Task ID 12769 | 0.0 |
Attend meetings on driver and passenger safety to learn ways in which job performance might be affected.O*NET Task ID 12774 | 0.0 |
Collect fares from passengers, and issue change and transfers.O*NET Task ID 12775 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page