客室乗務員
輸送・資材運搬AI露出度
- データ出典: BLS公表時点: 2026-08
高い· 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
0.091
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
0.22
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81%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 |
|---|---|
Announce flight delays and descent preparations.O*NET Task ID 9646 | 1.0 |
Inspect passenger tickets to verify information and to obtain destination information.O*NET Task ID 9647 | 1.0 |
Take inventory of headsets, alcoholic beverages, and money collected.O*NET Task ID 9653 | 1.0 |
Prepare reports showing places of departure and destination, passenger ticket numbers, meal and beverage inventories, the conditions of cabin equipment, and any problems encountered by passengers.O*NET Task ID 9656 | 1.0 |
Answer passengers' questions about flights, aircraft, weather, travel routes and services, arrival times, or schedules.O*NET Task ID 9648 | 0.5 |
Direct and assist passengers in emergency procedures, such as evacuating a plane following an emergency landing.O*NET Task ID 9636 | 0.0 |
Announce and demonstrate safety and emergency procedures, such as the use of oxygen masks, seat belts, and life jackets.O*NET Task ID 9637 | 0.0 |
Walk aisles of planes to verify that passengers have complied with federal regulations prior to takeoffs and landings.O*NET Task ID 9638 | 0.0 |
Verify that first aid kits and other emergency equipment, including fire extinguishers and oxygen bottles, are in working order.O*NET Task ID 9639 | 0.0 |
Administer first aid to passengers in distress.O*NET Task ID 9640 | 0.0 |
Attend preflight briefings concerning weather, altitudes, routes, emergency procedures, crew coordination, lengths of flights, food and beverage services offered, and numbers of passengers.O*NET Task ID 9641 | 0.0 |
Prepare passengers and aircraft for landing, following procedures.O*NET Task ID 9642 | 0.0 |
Determine special assistance needs of passengers, such as small children, the elderly, or disabled persons.O*NET Task ID 9643 | 0.0 |
Check to ensure that food, beverages, blankets, reading material, emergency equipment, and other supplies are aboard and are in adequate supply.O*NET Task ID 9644 | 0.0 |
Reassure passengers when situations, such as turbulence, are encountered.O*NET Task ID 9645 | 0.0 |
Assist passengers entering or disembarking the aircraft.O*NET Task ID 9649 | 0.0 |
Inspect and clean cabins, checking for any problems and making sure that cabins are in order.O*NET Task ID 9650 | 0.0 |
Greet passengers boarding aircraft and direct them to assigned seats.O*NET Task ID 9651 | 0.0 |
Conduct periodic trips through the cabin to ensure passenger comfort and to distribute reading material, headphones, pillows, playing cards, and blankets.O*NET Task ID 9652 | 0.0 |
Operate audio and video systems.O*NET Task ID 9654 | 0.0 |
Assist passengers in placing carry-on luggage in overhead, garment, or under-seat storage.O*NET Task ID 9655 | 0.0 |
Collect money for meals and beverages.O*NET Task ID 9657 | 0.0 |
Heat and serve prepared foods.O*NET Task ID 9658 | 0.0 |
Sell alcoholic beverages to passengers.O*NET Task ID 9659 | 0.0 |
Monitor passenger behavior to identify threats to the safety of the crew and other passengers.O*NET Task ID 23942 | 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