Flight Attendants
In short: today's best AI models could do about 5% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about the same by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 95% of the time, stays with people.
Monitor safety of the aircraft cabin. Provide services to airline passengers, explain safety information, serve food and beverages, and respond to emergency incidents.
131,650 people do this job in the US. $63,580 a year.
Reviewed on September 30, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on2 h
- A person checks AI's work0 h
- Desk work AI can't do yet0 h
- Stays with people38 h
Flight Attendants, now: of a 40-hour week, AI could take on 2 hours, 0 hours become checking its work, 0 hours are desk work it can't do yet, and 38 hours stay with people.
The largest pieces: Prepare flight reports (about 2 h); Count headsets, drinks and cash (under an hour).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 2%
- 3%
- 0%
- 43%
- 52%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
What handing it over would take, now
The 5% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.
of the working time. The material can be handed to a model and the result handed back.
of the working time. The model has to be connected to the system the work lives in.
is conversation short enough by length. This site leaves conversation with people, so it is not in the total.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 5%. Today's estimate: 5%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.011% went to this job's tasks in May 2026, the 375th largest of the 447 jobs that showed up at all; 1 of its 25 tasks showed up. Within each of Anthropic's methods, never across a change: 0.0037% to 0.0051% (released February and March 2025); 0.003% to 0.011% (August 2025 to February 2026); none to 0.011% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.0037% | 639 of 708 | 1 of 25 |
| Released March 2025 | 0.0051% | 580 of 703 | 1 of 25 |
| The week of Aug 4, 2025 (released September 2025) | 0.003% | 584 of 655 | 1 of 25 |
| The week of Nov 13, 2025 (released January 2026) | 0.0069% | 531 of 672 | 2 of 25 |
| The week of Feb 5, 2026 (released March 2026) | 0.011% | 487 of 677 | 3 of 25 |
| April 2026 (released June 2026) | none | n/a | 0 of 25 |
| May 2026 (released June 2026) | 0.011% | 375 of 447 | 1 of 25 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 62% of this job's working time as physical work. For 38% of the working time, a robot has been shown doing most of the task somewhere: 38% in a purpose-built cell. 0.38 of 3, the 353rd highest of the 923 jobs.
- Not physical 38%
- No robot shown 24%
- In a purpose-built cell 38%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
What changes for the people in this job
From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.
What stays with people
95% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Inspect and clean the cabin, the hands-on work, 7%
- Greet and seat passengers, the in-person work, 7%
- Sell alcoholic drinks, the hands-on work, 7%
- Check emergency equipment, the hands-on work, 6%
- Walk the cabin with comforts, the hands-on work, 6%
- Check supplies are aboard, the hands-on work, 6%
What becomes checking the machine
No desk work within reach by then in tasks where a mistake costs something. Another 5% is desk work that is small if wrong, which can be handed over with lighter checks.
What to learn
- The hands-on craft. About 52% of the time is hands-on work, which no model here does; robots are rated separately on this page.
- The conversations. About 43% of the time is conversation and in-person work, which this site leaves with people: listening, explaining, persuading, calming.
- Dealing with people outside the organization. Customers, patients, suppliers or the public: trust with them is built by a person.
- Signing off under your license. Some tasks need a licensed, certified or sworn person to do or sign them. The license, and the judgment it stands for, stays with the person.
- Judgment where errors are severe. Some tasks are severe if wrong. Knowing when not to trust an output matters more there than speed.
Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).
The tasks
Sorted by . 25 tasks from .
| Task | ||||
|---|---|---|---|---|
| Inspect and clean cabins, checking for any problems and making sure that cabins are in order.Checking and tidying the cabin.Done several times a day by most who do it. Robots: no robot shown. Anthropic's rating. | 7% | 25 min13 min to 50 min | Hands-on 100% | Stays with people |
| Greet passengers boarding aircraft and direct them to assigned seats.Greeting at the door and directing to seats.Done several times a day by most who do it. | 7% | 25 min13 min to 1.3 h | In person 100% | Stays with people |
| Sell alcoholic beverages to passengers.Drinks sold and served at the seat.Done several times a day by most who do it.Robots: in a purpose-built cell, Bionic Bar (Makr Shakr) (sold). Anthropic's rating. | 7% | 21 min8 min to 42 min | Hands-on 60%, in person 40% | Stays with people |
| Verify that first aid kits and other emergency equipment, including fire extinguishers and oxygen bottles, are in working order.First aid kits, extinguishers and oxygen checked.Done several times a day by most who do it. Robots: in a purpose-built cell, UR10 collaborative robot with vision camera (thyssenkrupp Bilstein final assembly; also Comprehensive Logistics engine inspection) (Universal Robots) (deployed). Anthropic's rating. | 6% | 25 min13 min to 38 min | Hands-on 100% | Stays with people |
| Conduct periodic trips through the cabin to ensure passenger comfort and to distribute reading material, headphones, pillows, playing cards, and blankets.Trips through the cabin handing out pillows, blankets and reading material.Done several times a day by most who do it. Robots: in a purpose-built cell, Servi / Servi Plus (Bear Robotics) (sold). Anthropic's rating. | 6% | 21 min8 min to 50 min | Hands-on 60%, in person 40% | Stays with people |
| Check to ensure that food, beverages, blankets, reading material, emergency equipment, and other supplies are aboard and are in adequate supply.Galley and cabin supplies checked.Done several times a day by most who do it. Robots: in a purpose-built cell, Chef Robotics meal-assembly robots (sold). Anthropic's rating. | 6% | 25 min13 min to 42 min | Hands-on 100% | Stays with people |
| Heat and serve prepared foods.Meals heated in the galley and served.Done several times a day by most who do it. Robots: in a purpose-built cell, Circus Autonomy One (CA-1) (deployed). Anthropic's rating. | 5% | 29 min13 min to 1.1 h | Hands-on 70%, in person 30% | Stays with people |
| Attend preflight briefings concerning weather, altitudes, routes, emergency procedures, crew coordination, lengths of flights, food and beverage services offered, and numbers of passengers.The crew briefing before the flight.Done several times a day by most who do it. | 5% | 21 min13 min to 33 min | In person 100% | Stays with people |
| Monitor passenger behavior to identify threats to the safety of the crew and other passengers.Presence in the cabin, watching behavior.Done hourly or more by most who do it. | 5% | 13 min4 min to 38 min | Hands-on 60%, in person 40% | Stays with people |
| Prepare passengers and aircraft for landing, following procedures.Passengers and cabin readied by the procedure.Done several times a day by most who do it. Robots: no robot shown. Anthropic's rating. | 5% | 17 min8 min to 25 min | In person 60%, hands-on 40% | Stays with people |
| Assist passengers entering or disembarking the aircraft.Helping at the door and in the aisle.Done several times a day by most who do it. Robots: no robot shown. Anthropic's rating. | 4% | 17 min8 min to 33 min | In person 70%, hands-on 30% | Stays with people |
| 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.Reports of the flight, inventories and problems entered.Done more than monthly by most who do it. | 4% | 25 min13 min to 50 min | Systems 60%, documents 40% | 100%Half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Passenger Attendants5% now, 5% by 2028
- Reservation and Transportation Ticket Agents and Travel Clerks36% now, 36% by 2028
- First-Line Supervisors of Passenger Attendants32% now, 33% by 2028
- Airfield Operations Specialists28% now, 33% by 2028
- Baggage Porters and Bellhops8% now, 8% by 2028
- Transportation Security Screeners11% now, 11% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Flight Attendants is within reach of AI now?
- An estimated 5% of the working time is within reach of AI models now and 5% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Flight Attendants come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Prepare flight reports (100% of the task's time now); and Count headsets, drinks and cash (30% of the task's time now).
- Which tasks of Flight Attendants stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Inspect and clean the cabin; Greet and seat passengers; and Sell alcoholic drinks. Together such tasks are about 94% of the working time, and the people and body parts of the other tasks stay with people too.
- What should Flight Attendants learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are the hands-on craft; the conversations; and dealing with people outside the organization. By the end of 2028 on the long-run pace at four in five, about 95% of the working time stays with people, 0% becomes checking a model's work and 5% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
- Do people already use AI for the work of Flight Attendants?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.011% went to this job's tasks, the 375th largest share of the 447 jobs that showed up; 1 of its 25 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 9%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Flight Attendants?
- Anthropic's robot exposure rating (September 2026) finds 62% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 38% of the working time. Its index is 0.38 of 3. One example: Bionic Bar (Makr Shakr) for "sell alcoholic drinks". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 25 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on September 30, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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