AI exposure by occupation, O*NET 53-6061.00
Will AI replace Passenger Attendants?
Passenger Attendants: AI can already handle 2 of 12 tasks; most of the work is hands-on, and the part AI can address mostly needs a frontier-tier model.
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Every task, scored
The 12 tasks O*NET 30.3 lists for Passenger Attendants, from most to least exposed. 2 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Count and verify tickets and seat reservations and record numbers of passengers boarding and disembarking. | Estimated | Efficient | |
| Provide customers with information on routes, gates, prices, timetables, terminals, or concourses. | Observed | Frontier | |
| Respond to passengers' questions, requests, or complaints. | Observed | Standard | |
| Secure passengers for transportation by buckling seatbelts or fastening wheelchairs with tie-down straps. | Estimated | No tier | |
| Perform equipment safety checks prior to departure. | Estimated | No tier | |
| Provide boarding assistance to elderly, sick, or injured people. | Estimated | No tier | |
| Greet passengers boarding transportation equipment and announce routes and stops. | Estimated | No tier | |
| Explain and demonstrate safety procedures and safety equipment use. | Estimated | No tier | |
| Open and close doors for passengers. | Estimated | No tier | |
| Determine or facilitate seating arrangements. | Estimated | No tier | |
| Signal transportation operators to stop or to proceed. | Estimated | No tier | |
| Adjust window shades or seat cushions at the request of passengers. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 2 of 12 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 10 of 12. 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 frontier-tier model or lower covers 26% of the role's importance-weighted task work. 26% of the work is something AI can address at some tier, and 74% 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
- 27,110
- Median annual wage
- $37,720
- Middle half of earners
- $31,240 to $41,680
- Projected change, 2024 to 2034
- +4.7%
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.
- Flight Attendants 78% skill overlap, about 8 months to move Exposure28
- First-Line Supervisors of Passenger Attendants 74% skill overlap, about 10 months to move Exposure26
- Aircraft Service Attendants 69% skill overlap, about 11 months to move Exposure16
- Amusement and Recreation Attendants 64% skill overlap, about 13 months to move Exposure58
- Reservation and Transportation Ticket Agents and Travel Clerks 63% skill overlap, about 13 months to move Exposure67
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Passenger Attendants and AI
Will AI replace Passenger Attendants?
AI already handles 2 of the 12 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 27 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 +4.7% from 2024 to 2034.
What is the AI exposure of Passenger Attendants?
27 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. 2 of the 12 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 10 are estimated from each task's O*NET work activity.
Which Passenger Attendants tasks can AI already do?
The tasks with the highest exposure are: Count and verify tickets and seat reservations and record numbers of passengers boarding and disembarking; Provide customers with information on routes, gates, prices, timetables, terminals, or concourses. They are the tasks that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 26% of the role's importance-weighted task work, and 74% 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 Passenger Attendants, and what do they earn?
27,110 people in the United States, with a median annual wage of $37,720 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +4.7% 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: Passenger 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/passenger-attendants
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