Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Provide customers with information on routes, gates, prices, timetables, terminals, or concourses. · 1.2%
Passenger Attendants
Occupation · SOC 53-6061.00
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.
Also called: Bus Aide · Bus Assistant · Bus Attendant · Bus Monitor · Fare Enforcement Officer · Transportation Aide · Airline Lounge Receptionist · Airport Attendant · Attendant · Bath Aide · Bath Steward · Bath Stewardess
Job family: Transportation and Material Moving Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-53-6061-00/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Keep a human in the loop
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
- Provide customers with information on routes, gates, prices, timetables, terminals, or concourses. · 99.1% need a human
Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+4.7% by 2034)
- 4,100 openings/yr
- High AI exposure
- Observed AI use leans augmentation
- Median pay $37,560/yr
- Work is mostly on-site (not teleworkable)
- Both the 2013 computerization estimate and today's AI exposure rank this high
55th-percentile task overlap — yet about 4,100 openings a year (+4.7% projected, BLS), and observed AI use leans 4783% copilot, not hand-off (AEI) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 38th | -0.4 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 30th | 0.3 | |
| AI assistant applicability (Microsoft) High | 99th | 0.4 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.2), and including AI-powered software (γ 0.3). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.8 · 61st percentile among occupations · Moderate
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Respond to passengers' questions, requests, or complaints. | 0.4% | |
| Provide customers with information on routes, gates, prices, timetables, terminals, or concourses. | 0.3% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +4.7% by 2034 |
| Projected annual openings | 4,100 |
| Employment 2024 → 2034 | 25,600 → 26,800 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international 2 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Passenger Attendants sits at the 42nd percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure eased from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
23% mean task exposure (2025)
42nd percentile of 427 placed occupations
−11 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Transport Conductors · 5112 | 25% | Minimal |
| Travel Attendants and Travel Stewards · 5111 | 22% | Not exposed |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Working with AI in this job
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 47.8% working with AI · 43.5% handed to AI |
| Most common way people use AI here | Directive · AI does it; you give the instruction |
| Typical AI autonomy | 3.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 18.3% |
What people delegate to AI
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Provide customers with information on routes, gates, prices, timetables, terminals, or concourses. | Directive | 1.2% |
Where a human is still needed
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Provide customers with information on routes, gates, prices, timetables, terminals, or concourses. | 99.1% |
What people most often hand AI here
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
-
Help me provide customers with information on routes, gates, prices, timetables, terminals, or concourses.From: Provide customers with information on routes, gates, prices, timetables, terminals, or concourses. · 1.2% of measured AI use · directive
Tasks
All 14 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Secure passengers for transportation by buckling seatbelts or fastening wheelchairs with tie-down straps. Core · importance 4.7
- Provide customers with information on routes, gates, prices, timetables, terminals, or concourses. Supplemental · importance 4.7
- Perform equipment safety checks prior to departure. Supplemental · importance 4.5
- Provide boarding assistance to elderly, sick, or injured people. Core · importance 4.4
- Respond to passengers' questions, requests, or complaints. Core · importance 4.2
- Greet passengers boarding transportation equipment and announce routes and stops. Supplemental · importance 4.1
- Count and verify tickets and seat reservations and record numbers of passengers boarding and disembarking. Supplemental · importance 4.1
- Explain and demonstrate safety procedures and safety equipment use. Supplemental · importance 4.1
- Open and close doors for passengers. Supplemental · importance 4.0
- Determine or facilitate seating arrangements. Core · importance 3.9
- Signal transportation operators to stop or to proceed. Supplemental · importance 3.9
- Adjust window shades or seat cushions at the request of passengers. Supplemental · importance 3.8
- Issue and collect passenger boarding passes and transfers, tearing or punching tickets as necessary to prevent reuse. Supplemental
- Transport baggage or coordinate transportation between assigned rooms, terminals, or platforms. Supplemental
Work activities
- Assist passengers during vehicle boarding.
- Provide transportation information to passengers or customers.
- Explain regulations, policies, or procedures.
- Follow safety procedures for vehicle operation.
- Signal others to coordinate vehicle movement.
- Verify information or specifications.
- Record operational or production data.
- Assist customers to ensure comfort or safety.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Transferable skills
| Service Orientation | 3.9 | |
| Social Perceptiveness | 3.8 | |
| Coordination | 3.0 | |
| Persuasion | 3.0 | |
| Negotiation | 2.9 | |
| Complex Problem Solving | 2.6 | |
| Judgment and Decision Making | 2.6 | |
| Instructing | 2.5 | |
| Operations Monitoring | 2.5 |
Essential skills
| Active Listening | 3.8 | |
| Speaking | 3.8 | |
| Monitoring | 3.3 | |
| Reading Comprehension | 3.0 | |
| Critical Thinking | 2.9 | |
| Active Learning | 2.6 | |
| Writing | 2.5 |
Abilities
| Oral Comprehension | 3.8 | |
| Oral Expression | 3.8 | |
| Speech Recognition | 3.6 | |
| Speech Clarity | 3.6 | |
| Problem Sensitivity | 3.5 | |
| Deductive Reasoning | 3.4 | |
| Written Comprehension | 3.0 | |
| Inductive Reasoning | 3.0 | |
| Selective Attention | 3.0 | |
| Category Flexibility | 2.9 | |
| Near Vision | 2.9 | |
| Information Ordering | 2.8 | |
| Flexibility of Closure | 2.8 | |
| Time Sharing | 2.8 | |
| Far Vision | 2.8 | |
| Written Expression | 2.6 | |
| Trunk Strength | 2.6 | |
| Visual Color Discrimination | 2.6 | |
| Auditory Attention | 2.6 |
Knowledge
| Transportation | 3.7 | |
| English Language | 3.5 | |
| Customer and Personal Service | 3.2 | |
| Public Safety and Security | 3.2 | |
| Psychology | 2.5 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Tools & technology
| Example | Category | |
|---|---|---|
| Microsoft Office software | Office suite software | Hot technology |
| Microsoft Windows | Operating system software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Appointment scheduling software | Calendar and scheduling software | |
| Email software | Electronic mail software | |
| Time tracking software | Time accounting software |
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
- Education
- Usually requires a high school diploma or GED, though some occupations may not.
- Typical entry-level education
- High school diploma or equivalent · BLS, the typical path — not a requirement
- Related experience
- Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
- Preparation level
- SVP (Below 6.0) — total schooling plus on-the-job experience.
Education of current workers
Share of people in this occupation at each level of education.
| High School Diploma | 82.2% | |
| Less than a High School Diploma | 15.8% | |
| Post-Secondary Certificate | 2.0% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Interest areas
| Personal Service | 5.6 | |
| Transportation/Machine Operation | 2.5 | |
| Social Service | 2.5 | |
| Physical/Manual Labor | 2.2 | |
| Public Speaking | 2.0 | |
| Protective Service | 1.9 |
Work styles
| Dependability | 5.0 | |
| Cooperation | 4.0 | |
| Social Orientation | 3.0 | |
| Empathy | 2.2 | |
| Optimism | 2.0 | |
| Self-Control | 1.9 |
Career interests (Holland / RIASEC)
| Conventional | 4.5 | |
| Social | 4.3 | |
| Realistic | 3.8 | |
| Enterprising | 3.1 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $29,120 |
| 25th percentile | $32,090 |
| Median (50th) | $37,560 |
| 75th percentile | $41,180 |
| 90th percentile | $49,510 |
| People employed | 25,340 |
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Transportation and Warehousing · Sector | 21,180 | $36,450 |
| Arts, Entertainment, and Recreation · Sector | 170 | $33,400 |
| Health Care and Social Assistance · Sector | 50 | $28,990 |
| Educational Services · Sector | 40 | $37,840 |
| Administrative and Support and Waste Management and Remediation Services · Sector | — | $40,470 |
| Temporary Help Services · National industry | — | $36,060 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Transportation and Warehousing · Sector | 17.43× | 21,180 |
| Arts, Entertainment, and Recreation · Sector | 0.39× | 170 |
Related occupations
Part of the Hospitality, Events, & Tourism career cluster.
- Flight Attendants · 53-2031.00 Compare →
- Baggage Porters and Bellhops · 39-6011.00 Compare →
- Reservation and Transportation Ticket Agents and Travel Clerks · 43-4181.00 Compare →
- Bus Drivers, Transit and Intercity · 53-3052.00 Compare →
- Shuttle Drivers and Chauffeurs · 53-3053.00 Compare →
- First-Line Supervisors of Passenger Attendants · 53-1044.00 Compare →
- Parking Attendants · 53-6021.00 Compare →
- Railroad Conductors and Yardmasters · 53-4031.00 Compare →
- Locker Room, Coatroom, and Dressing Room Attendants · 39-3093.00 Compare →
- Aircraft Cargo Handling Supervisors · 53-1041.00 Compare →
- Concierges · 39-6012.00 Compare →
- Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop · 35-9031.00 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Passenger Attendants — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- High school diploma or equivalent · typical entry level
- Job zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed · preparation tier
Zoom out
On the global GenAI exposure gradient this work sits around the 42nd percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Passenger Attendants show 55th-percentile AI task overlap — and about 4,100 annual U.S. openings
- Passenger Attendants rank in the 55th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 4,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be about average (+4.7%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $37,560, across about 25,340 U.S. workers.BLS OEWS (May 2024)
- Of the AI use actually observed for this work, 48% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Passenger Attendants show 55th-percentile AI task overlap — and about 4,100 annual U.S. openings • Passenger Attendants rank in the 55th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 4,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+4.7%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $37,560, across about 25,340 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 48% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Passenger Attendants". https://singulariki.com/roles/role-53-6061-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Passenger Attendants." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-53-6061-00
APA
Singulariki. (2026). Passenger Attendants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-6061-00
BibTeX
@misc{singulariki-role-53-6061-00,
title = {Passenger Attendants},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-53-6061-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.