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# Will AI replace flight attendants?

Updated October 2026

Flight attendants score 30 of 100 for AI exposure. 74% of their task time still needs a person. AI can do 4% today and speed up another 22%.

-   **4%** AI can do it
-   **22%** AI helps
-   **74%** Needs a person

Moderate exposure

Lower than 63% of the 923 occupations we scored.

## Task by task

We graded 25 tasks, listed here from most to least exposed. AI can do 1 of them today, speeds up 6 and leaves 18 to people.

| Task | AI exposure |
| --- | --- |
| 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 built from flight and inventory data; person reviews. | 70% AI can do it |
| Answer passengers' questions about flights, aircraft, weather, travel routes and services, arrival times, or schedules. Passenger questions can be answered by AI from flight data. | 55% AI helps |
| Announce flight delays and descent preparations. Live voice announcements; scripts and prerecorded messages are automatable. | 40% AI helps |
| Take inventory of headsets, alcoholic beverages, and money collected. Counting cash and alcohol is physical; reconciliation can be automated. | 35% AI helps |
| Check to ensure that food, beverages, blankets, reading material, emergency equipment, and other supplies are aboard and are in adequate supply. Physical counts of supplies; software can track stock levels. | 30% AI helps |

## How flight attendants compare

All occupations (923)

Transportation and material moving (52)

**Flight attendants score 30**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 25 for transportation and material moving.

## Pay and outlook in the US

Median pay

$63,580 a year, May 2025

People employed

131,650 in the US, May 2025

Projected change in jobs

+8.8% from 2024 to 2034

## Skills to build

-   Review AI-drafted cabin reports in Microsoft Word and Excel
-   Keep first aid and CPR certification current for medical events
-   Run emergency evacuation drills and cabin safety briefings in person
-   Count cabin alcohol and cash, then reconcile in Microsoft Excel
-   Assist passengers with special needs at boarding and deplaning

## Safer roles nearby

5 related occupations with lower scores.

-   [Transportation security screeners26 out of 100](https://www.aigentcy.com/ai-exposure/transportation-security-screeners/)
-   [Ushers24 out of 100](https://www.aigentcy.com/ai-exposure/ushers/)
-   [Coat check attendants27 out of 100](https://www.aigentcy.com/ai-exposure/coat-check-attendants/)
-   [Bus drivers28 out of 100](https://www.aigentcy.com/ai-exposure/bus-drivers/)
-   [Aircraft service attendants13 out of 100](https://www.aigentcy.com/ai-exposure/aircraft-service-attendants/)

## Questions about flight attendants and AI

Will flight attendants be replaced by AI?

Partly. About 2 in 10 working hours go to tasks AI can already do, mostly preparing flight reports and answering passenger questions about flights and schedules. Serving meals, handling emergencies and helping passengers board stay with people because they need a person in the cabin.

Which tasks is AI taking over for flight attendants?

Preparing reports carries the highest exposure at 70, because flight and inventory data already hold departure points, ticket numbers and meal counts. Answering passenger questions about flights, weather and arrival times scores 55, since flight data supplies those answers directly. Scripted delay announcements score 40 and can be prerecorded.

Which flight attendant tasks stay human?

Administering first aid scores 4 and directing evacuations scores 5, the lowest exposure in the job, because both need hands on people in distress. Helping passengers board and stowing their carry-on bags also score 5. Physical help with mobility and lifting stays with flight attendants.

How can flight attendants stay valuable as AI takes on reports?

Build your value around hands-on work that stays physical. Keep first aid and emergency evacuation training current, since those tasks score 4 and 5 on exposure. Review AI-drafted cabin reports in Microsoft Word and Excel before sign-off, and take on special assistance planning for passengers with disabilities.

## Related jobs

-   [Reservation agents60 out of 100](https://www.aigentcy.com/ai-exposure/reservation-agents/)
-   [Airline pilots32 out of 100](https://www.aigentcy.com/ai-exposure/airline-pilots/)
-   [Commercial pilots33 out of 100](https://www.aigentcy.com/ai-exposure/commercial-pilots/)
-   [Chauffeurs30 out of 100](https://www.aigentcy.com/ai-exposure/chauffeurs/)

## Next steps for flight attendants

-   ### Check your job
    
    Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do.
    
    [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/)
    

### Check which roles in your team AI can take on

We map your team's tasks, show what AI can do today and build the automations that pay back first.

[Book an AI audit](https://www.aigentcy.com/audit/)

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-   [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/)
-   [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/)
-   [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/)
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-   [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/)

Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.
