# Passenger Attendants

> 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.

- **SOC code:** 53-6061.00
- **Canonical URL:** https://singulariki.com/roles/role-53-6061-00
- **Also known as:** Bus Aide, Bus Assistant, Bus Attendant, Bus Monitor, Fare Enforcement Officer, Transportation Aide, Airline Lounge Receptionist, Airport Attendant
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Secure passengers for transportation by buckling seatbelts or fastening wheelchairs with tie-down straps.
- Provide customers with information on routes, gates, prices, timetables, terminals, or concourses.
- Perform equipment safety checks prior to departure.
- Provide boarding assistance to elderly, sick, or injured people.
- Respond to passengers' questions, requests, or complaints.
- Greet passengers boarding transportation equipment and announce routes and stops.
- Explain and demonstrate safety procedures and safety equipment use.
- Count and verify tickets and seat reservations and record numbers of passengers boarding and disembarking.
- Open and close doors for passengers.
- Determine or facilitate seating arrangements.
- Signal transportation operators to stop or to proceed.
- Adjust window shades or seat cushions at the request of passengers.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Service Orientation _(transferable_skill)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Social Perceptiveness _(transferable_skill)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Transportation _(knowledge)_
- Speech Recognition _(ability)_
- Speech Clarity _(ability)_
- English Language _(knowledge)_
- Problem Sensitivity _(ability)_
- Deductive Reasoning _(ability)_

**Skills in demand:**
- Social Perceptiveness _(Common Skill)_
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- English Language _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Windows _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Negotiation _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Information Ordering _(Specialized Skill)_

**Tools & technology:**
- Microsoft Office software _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- Appointment scheduling software
- Email software
- Time tracking software

## AI exposure & outlook

- **AI task-overlap index:** 55th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 38th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 30th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 99th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 61st percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 4.7% growth (About average); 4.1k annual openings; 25.6k → 26.8k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $37,560; 25,340 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 43% automation, 48% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Provide customers with information on routes, gates, prices, timetables, terminals, or concourses. _(1.2% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me provide customers with information on routes, gates, prices, timetables, terminals, or concourses.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

---
_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-53-6061-00_