AI exposure by occupation, O*NET 53-6032.00
Will AI replace Aircraft Service Attendants?
Aircraft Service Attendants: AI does not yet handle any of the role's 18 tasks; most of the work is hands-on, and the part AI can address mostly needs a standard-tier model.
Have a team in this role?
Get your free 10-role sample: send this role and up to nine others, and a founder sends a board-pack PDF within two business days.
Every task, scored
The 18 tasks O*NET 30.3 lists for Aircraft Service Attendants, from most to least exposed. None reaches 60, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Guide aircraft to designated areas using hand signals, batons, or other methods. | Estimated | Standard | |
| Inspect aircraft components to locate cracks, breaks, leaks, or other problems. | Estimated | Efficient | |
| Change aircraft oil, coolant, or other fluids. | Estimated | No tier | |
| Climb ladders to reach aircraft surfaces to be cleaned. | Estimated | No tier | |
| Complete forms describing tasks completed. | Estimated | No tier | |
| De-grease aircraft exteriors. | Estimated | No tier | |
| Empty aircraft lavatory systems or refill them with sanitizer fluid. | Estimated | No tier | |
| Load baggage or cargo for crew or passengers. | Estimated | No tier | |
| Mix cleaning compounds or solutions. | Estimated | No tier | |
| Polish aircraft exteriors. | Estimated | No tier | |
| Radio to flight dispatchers or other personnel to discuss incoming or outgoing aircraft. | Estimated | No tier | |
| Refill aircraft potable water tanks. | Estimated | No tier | |
| Refuel aircraft using hoses connected to fuel trucks. | Estimated | No tier | |
| Remove exhaust stains from aircraft using cleaning fluids. | Estimated | No tier | |
| Tow aircraft to gates or hangars using tugs, tractors, or other vehicles. | Estimated | No tier | |
| Clean aircraft interiors by picking up waste, wiping down windows, or vacuuming. | Estimated | No tier | |
| Apply de-icing fluid to aircraft from baskets lifted by truck-mounted cranes. | Estimated | No tier | |
| Wash the aircraft exteriors using lifts, cranes, detergent, or other equipment. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 18 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 18 of 18. 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 11% of the role's importance-weighted task work. 11% of the work is something AI can address at some tier, and 89% 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
- 31,300
- Median annual wage
- $40,450
- Middle half of earners
- $35,740 to $46,830
- Projected change, 2024 to 2034
- +5.1%
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.
- Cleaners of Vehicles and Equipment 72% skill overlap, about 10 months to move Exposure15
- Flight Attendants 70% skill overlap, about 11 months to move Exposure28
- Automotive and Watercraft Service Attendants 70% skill overlap, about 11 months to move Exposure16
- Passenger Attendants 69% skill overlap, about 11 months to move Exposure27
- Aircraft Mechanics and Service Technicians 69% skill overlap, about 11 months to move Exposure20
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Aircraft Service Attendants and AI
Will AI replace Aircraft Service Attendants?
Not on current evidence. None of the 18 tasks O*NET lists for this occupation reaches a task exposure of 60, the level at which JobRoute counts a task as handled by AI, and the role's importance-weighted exposure is 16 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.
What is the AI exposure of Aircraft Service Attendants?
16 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. 0 of the 18 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 18 are estimated from each task's O*NET work activity.
Which Aircraft Service Attendants tasks can AI already do?
None reaches 60 yet. The most exposed task is: Guide aircraft to designated areas using hand signals, batons, or other methods, at 50 out of 100.
What AI model tier does this role need?
A standard-tier model or lower covers 11% of the role's importance-weighted task work, and 89% 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 Aircraft Service Attendants, and what do they earn?
31,300 people in the United States, with a median annual wage of $40,450 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +5.1% 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: Aircraft Service 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/aircraft-service-attendants
Have a team in this role?
Get your free 10-role sample. Send this role and up to nine others, with no employee data, and a founder sends a PDF in board-pack format within two business days.
A founder replies within one business day.