Will AI replace Passenger Attendants?
AI reaches little of this job’s work.
16/100
Low exposure
More exposed to AI than 29% of US workers.
- AI already used in
- 6% of the work
- As AI tools mature: up to
- 31% of the work
What the job involves
Provide services to ensure the safety of passengers aboard ships, buses, trains, or within the station or terminal. Perform duties such as explaining the use of safety equipment, serving meals or beverages, or answering questions related to travel.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(1)
- Provide customers with information on routes, gates, prices, timetables, terminals, or concourses.
Within reach(3)
- Respond to passengers' questions, requests, or complaints.
- Greet passengers boarding transportation equipment and announce routes and stops.
- Count and verify tickets and seat reservations and record numbers of passengers boarding and disembarking.
Out of reach(8)
- Perform equipment safety checks prior to departure.
- Determine or facilitate seating arrangements.
- Explain and demonstrate safety procedures and safety equipment use.
- Open and close doors for passengers.
- Signal transportation operators to stop or to proceed.
and 3 more
Also called
Bus Attendant · Bus Aide · Passenger Representative · Bus Monitor · Transportation Attendant · Airport Attendant · Chair Car Attendant · Club Car Attendant
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics