Market signal
Independent published positions, read together — not a forecast.
- Moderate AI exposure
Occupation · SOC 53-1044.00
Supervise and coordinate activities of passenger attendants.
Also called: On Car Supervisor · Transportation Supervisor · Airflight Attendants Supervisor · Airplane Flight Attendant Supervisor · Airplane Pilot Supervisor · Boatswain · Cabin Service Agent · Cargo Supervisor · Chief Passenger Ship Steward · Chief Passenger Ship Stewardess · Flight Purser · Flight Service Manager
Job family: Transportation and Material Moving Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-53-1044-00/context.md directly.
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.
Independent published positions, read together — not a forecast.
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.
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 |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 45th | 0.5 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.3), and including AI-powered software (γ 0.5). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
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.
| Inform workers about interests or special needs of specific groups. | 0.6% | |
| Enforce safety rules and regulations. | 0.4% | |
| Analyze and record personnel or operational data and write related activity reports. | 0.2% | |
| Resolve customer complaints regarding worker performance or services rendered. | 0.2% |
All 19 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Microsoft Excel | Spreadsheet software | Hot technology In demand |
| Microsoft Office software | Office suite software | Hot technology In demand |
| Microsoft Outlook | Electronic mail software | Hot technology In demand |
| Microsoft PowerPoint | Presentation software | Hot technology In demand |
| Microsoft Access | Data base user interface and query software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| SAP software | Enterprise resource planning ERP software | Hot technology |
| Accellos Real Dispatch | Mobile location based services software | |
| Commercial vehicle operations CVO software | Mobile location based services software | |
| General ledger software | Accounting software | |
| Inventory management systems | Inventory management software | |
| Scheduling software | Calendar and scheduling software | |
| Timekeeping software | Time accounting software | |
| Web browser software | Internet browser software | |
| Work scheduling software | Calendar and scheduling software |
What to study: Transportation and Materials Moving . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
The interests and personal qualities O*NET associates with people who do this work.
| Enterprising | 6.5 | |
| Conventional | 5.2 | |
| Social | 4.1 | |
| Realistic | 2.6 |
| Management/Administration | 5.8 | |
| Personal Service | 4.9 | |
| Human Resources | 3.9 | |
| Public Speaking | 2.5 | |
| Accounting | 2.5 | |
| Office Work | 2.4 | |
| Teaching/Education | 2.3 | |
| Business Initiatives | 2.2 |
| Dependability | 4.0 | |
| Cooperation | 3.0 | |
| Leadership Orientation | 2.5 | |
| Social Orientation | 2.2 |
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for First-Line Supervisors of Passenger Attendants — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
First-Line Supervisors of Passenger Attendants sit at the 44th percentile of AI task overlap among U.S. occupations
First-Line Supervisors of Passenger Attendants sit at the 44th percentile of AI task overlap among U.S. occupations • First-Line Supervisors of Passenger Attendants rank in the 44th 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) Source: Singulariki — "First-Line Supervisors of Passenger Attendants". https://singulariki.com/roles/role-53-1044-00 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.
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.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "First-Line Supervisors of Passenger Attendants." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-53-1044-00
Singulariki. (2026). First-Line Supervisors of Passenger Attendants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-1044-00
@misc{singulariki-role-53-1044-00,
title = {First-Line Supervisors of Passenger Attendants},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-53-1044-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.