Flugbegleiter
Transport und MaterialbewegungKI-Exposition
- Datenquelle: BLSVeröffentlicht: 2026-08
Hoch· relativ
NiedrigVier relative BänderSehr hochWert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Vier relative Bänder (Niedrig / Mittel / Hoch / Sehr hoch)
831 detaillierte Berufe in der BLS-Beschäftigungsprojektionstabelle. Der Wert wird je Code der National Employment Matrix (NEM) vergeben, daher erhalten Berufe mit demselben NEM-Code dasselbe Band
- Datenquelle: AnthropicVeröffentlicht: 2026-03
0.091
0.000Spannweite der hier geführten Werte0.745Skala, Bezugsmenge und Quelle
Index der beobachteten Exposition, 0–1 wie veröffentlicht
Auf O*NET-Aufgaben abgebildet
- Datenquelle: ILOVeröffentlicht: 2025
0.22
0.09Spannweite der hier geführten Werte0.70Wert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Index der Exposition gegenüber generativer KI, 0–1 wie veröffentlicht
ISCO-08-Berufsgattung — alle Berufe mit demselben Code erhalten diesen Wert
Von dieser Website berechnet, nicht von der IAO veröffentlicht: Von den 1.012 Berufen, die diese Website mit dem IAO-Datensatz verknüpft, erreichen oder übertreffen 81% diesen Wert.
Welche Art von Wert diese Quelle veröffentlicht
Die Kategorie von BLS ist ein relativer Rang und kein absolutes Niveau, und sie ist keine eigene Messung: Sie fasst die Perzentilränge des Berufs aus mehreren veröffentlichten Studien in vier Bänder zusammen. Sie ist weder eine Beschäftigungs- oder Lohnprognose noch eine Einführungswahrscheinlichkeit und unterscheidet nicht zwischen Automatisierung und Augmentierung.
Task-level exposure
Nur exponierte Aufgaben| Task | Claude.aiRaw / share % |
|---|---|
Answer passengers' questions about flights, aircraft, weather, travel routes and services, arrival times, or schedules.53-2031 | 0.005253.1 |
Heat and serve prepared foods.53-2031 | 0.002727.6 |
Assist passengers in placing carry-on luggage in overhead, garment, or under-seat storage.53-2031 | 0.001919.4 |
| Not observed on any surface — 21 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. | |
Direct and assist passengers in emergency procedures, such as evacuating a plane following an emergency landing. | —0 |
Announce and demonstrate safety and emergency procedures, such as the use of oxygen masks, seat belts, and life jackets. | —0 |
Walk aisles of planes to verify that passengers have complied with federal regulations prior to takeoffs and landings. | —0 |
Verify that first aid kits and other emergency equipment, including fire extinguishers and oxygen bottles, are in working order. | —0 |
Administer first aid to passengers in distress. | —0 |
Attend preflight briefings concerning weather, altitudes, routes, emergency procedures, crew coordination, lengths of flights, food and beverage services offered, and numbers of passengers. | —0 |
Prepare passengers and aircraft for landing, following procedures. | —0 |
Determine special assistance needs of passengers such as small children, the elderly, or disabled persons. | —0 |
Check to ensure that food, beverages, blankets, reading material, emergency equipment, and other supplies are aboard and are in adequate supply. | —0 |
Reassure passengers when situations such as turbulence are encountered. | —0 |
Announce flight delays and descent preparations. | —0 |
Inspect passenger tickets to verify information and to obtain destination information. | —0 |
Assist passengers entering or disembarking the aircraft. | —0 |
Inspect and clean cabins, checking for any problems and making sure that cabins are in order. | —0 |
Greet passengers boarding aircraft and direct them to assigned seats. | —0 |
Conduct periodic trips through the cabin to ensure passenger comfort and to distribute reading material, headphones, pillows, playing cards, and blankets. | —0 |
Take inventory of headsets, alcoholic beverages, and money collected. | —0 |
Operate audio and video systems. | —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. | —0 |
Collect money for meals and beverages. | —0 |
Sell alcoholic beverages to passengers. | —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 |
|---|---|
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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Berufsinformationen
Aktuelle Veränderungen mit Bezug zu diesem Beruf
März 2026: Published evergreen blog post analyzing AI impact on flight attendants (11% automation risk, 14% exposure)
[Quelle: AI Changing Work Blog]