# Reservation and Transportation Ticket Agents and Travel Clerks

> Make and confirm reservations for transportation or lodging, or sell transportation tickets. May check baggage and direct passengers to designated concourse, pier, or track; deliver tickets and contact individuals and groups to inform them of package tours; or provide tourists with travel or transportation information.

- **SOC code:** 43-4181.00
- **Canonical URL:** https://singulariki.com/roles/role-43-4181-00
- **Also known as:** Customer Service Agent, Reservation Agent, Reservations Agent, Ticket Agent, Airline Ticket Agent, Airport Sales Agent, Reservationist, Reservations and Ticketing Agent
- **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):
- Examine passenger documentation to determine destinations and to assign boarding passes.
- Trace lost, delayed, or misdirected baggage for customers.
- Check baggage and cargo and direct passengers to designated locations for loading.
- Provide boarding or disembarking assistance to passengers needing special assistance.
- Confer with customers to determine their service requirements and travel preferences.
- Announce arrival and departure information, using public address systems.
- Provide clients with assistance in preparing required travel documents and forms.
- Prepare customer invoices and accept payment.
- Determine whether space is available on travel dates requested by customers, assigning requested spaces when available.
- Assemble and issue required documentation, such as tickets, travel insurance policies, or itineraries.
- Maintain computerized inventories of available passenger space and provide information on space reserved or available.
- Inform clients of essential travel information, such as travel times, transportation connections, or medical and visa requirements.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Oral Expression _(ability)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Service Orientation _(transferable_skill)_
- Oral Comprehension _(ability)_
- Speech Recognition _(ability)_
- Speech Clarity _(ability)_
- English Language _(knowledge)_
- Computers and Electronics _(knowledge)_
- Public Safety and Security _(knowledge)_
- Social Perceptiveness _(transferable_skill)_

**Skills in demand:**
- Speech Recognition _(Specialized Skill)_
- Active Listening _(Common Skill)_
- English Language _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Geography _(Specialized Skill)_
- Critical Thinking _(Common Skill)_
- Writing _(Common Skill)_
- Time Management _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft Access _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Amadeus Altea Reservation
- Computer reservation system CRS software
- Corel WordPerfect Office Suite
- Delphi Technology
- Email software
- Galileo 360 Fares

## AI exposure & outlook

- **AI task-overlap index:** 71st percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 54th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 65th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 95th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 52nd percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 2.8% growth (About average); 14.4k annual openings; 131.9k → 135.6k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $41,460; 127,440 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 46% automation, 43% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Answer inquiries regarding information such as schedules, accommodations, procedures, and policies. _(8.3% of measured AI use; directive)_
- Provide customers with travel suggestions and information sources, such as guides, directories, brochures, and maps. _(8.2% of measured AI use; directive)_
- Plan routes, itineraries, and accommodation details, and compute fares and fees, using schedules, rate books, and computers. _(1.0% of measured AI use; task iteration)_
- Make and confirm reservations for transportation and accommodations, using telephones, faxes, mail, and computers. _(0.7% of measured AI use; task iteration)_
- Confer with customers to determine their service requirements and travel preferences. _(0.6% of measured AI use; task iteration)_
- Provide clients with assistance in preparing required travel documents and forms. _(0.6% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me answer inquiries regarding information such as schedules, accommodations, procedures, and policies.
- Help me provide customers with travel suggestions and information sources, such as guides, directories, brochures, and maps.
- Help me plan routes, itineraries, and accommodation details, and compute fares and fees, using schedules, rate books, and computers.
- Help me make and confirm reservations for transportation and accommodations, using telephones, faxes, mail, and computers.
- Help me confer with customers to determine their service requirements and travel preferences.

## 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

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-43-4181-00_