AI exposure by occupation, O*NET 53-2031.00
Will AI replace Flight Attendants?
Flight Attendants: AI can already handle 4 of 25 tasks; most of the work is hands-on, and the part AI can address mostly needs a standard-tier model.
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Every task, scored
The 25 tasks O*NET 30.3 lists for Flight Attendants, from most to least exposed. 4 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Verify that first aid kits and other emergency equipment, including fire extinguishers and oxygen bottles, are in working order. | Estimated | Standard | |
| Walk aisles of planes to verify that passengers have complied with federal regulations prior to takeoffs and landings. | Estimated | Standard | |
| Inspect passenger tickets to verify information and to obtain destination information. | Estimated | Efficient | |
| 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. | Estimated | Efficient | |
| Direct and assist passengers in emergency procedures, such as evacuating a plane following an emergency landing. | Estimated | Efficient | |
| Answer passengers' questions about flights, aircraft, weather, travel routes and services, arrival times, or schedules. | Observed | Standard | |
| Inspect and clean cabins, checking for any problems and making sure that cabins are in order. | Estimated | Efficient | |
| Announce and demonstrate safety and emergency procedures, such as the use of oxygen masks, seat belts, and life jackets. | Estimated | No tier | |
| Monitor passenger behavior to identify threats to the safety of the crew and other passengers. | Estimated | No tier | |
| Prepare passengers and aircraft for landing, following procedures. | Estimated | No tier | |
| Administer first aid to passengers in distress. | Estimated | No tier | |
| Determine special assistance needs of passengers, such as small children, the elderly, or persons with disabilities. | Estimated | No tier | |
| Attend preflight briefings concerning weather, altitudes, routes, emergency procedures, crew coordination, lengths of flights, food and beverage services offered, and numbers of passengers. | Estimated | No tier | |
| Reassure passengers when situations, such as turbulence, are encountered. | Estimated | No tier | |
| Check to ensure that food, beverages, blankets, reading material, emergency equipment, and other supplies are aboard and are in adequate supply. | Estimated | No tier | |
| Announce flight delays and descent preparations. | Estimated | No tier | |
| Greet passengers boarding aircraft and direct them to assigned seats. | Estimated | No tier | |
| Assist passengers entering or disembarking the aircraft. | Estimated | No tier | |
| Conduct periodic trips through the cabin to ensure passenger comfort and to distribute reading material, headphones, pillows, playing cards, and blankets. | Estimated | No tier | |
| Operate audio and video systems. | Estimated | No tier | |
| Collect money for meals and beverages. | Estimated | No tier | |
| Heat and serve prepared foods. | Estimated | No tier | |
| Take inventory of headsets, alcoholic beverages, and money collected. | Estimated | No tier | |
| Sell alcoholic beverages to passengers. | Estimated | No tier | |
| Assist passengers in placing carry-on luggage in overhead, garment, or under-seat storage. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 1 of 25 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 24 of 25. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A standard-tier model or lower covers 29% of the role's importance-weighted task work. 29% of the work is something AI can address at some tier, and 71% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 131,650
- Median annual wage
- $63,580
- Middle half of earners
- $51,760 to $95,640
- Projected change, 2024 to 2034
- +9.2%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Passenger Attendants 78% skill overlap, about 8 months to move Exposure27
- First-Line Supervisors of Passenger Attendants 71% skill overlap, about 10 months to move Exposure26
- Aircraft Service Attendants 70% skill overlap, about 11 months to move Exposure16
- Airline Pilots, Copilots, and Flight Engineers 66% skill overlap, about 12 months to move Exposure27
- Reservation and Transportation Ticket Agents and Travel Clerks 61% skill overlap, about 14 months to move Exposure67
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Flight Attendants and AI
Will AI replace Flight Attendants?
AI already handles 4 of the 25 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 28 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +9.2% from 2024 to 2034.
What is the AI exposure of Flight Attendants?
28 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 1 of the 25 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 24 are estimated from each task's O*NET work activity.
Which Flight Attendants tasks can AI already do?
The tasks with the highest exposure are: Verify that first aid kits and other emergency equipment, including fire extinguishers and oxygen bottles, are in working order; Walk aisles of planes to verify that passengers have complied with federal regulations prior to takeoffs and landings; Inspect passenger tickets to verify information and to obtain destination information. They are three of the 4 tasks that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 29% of the role's importance-weighted task work, and 71% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Flight Attendants, and what do they earn?
131,650 people in the United States, with a median annual wage of $63,580 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +9.2% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Flight Attendants. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/flight-attendants
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