AI exposure by occupation, O*NET 43-4181.00

Will AI replace Reservation and Transportation Ticket Agents and Travel Clerks?

Reservation and Transportation Ticket Agents and Travel Clerks: AI can already handle 17 of 21 tasks; the work mostly needs a standard-tier model.

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Every task, scored

The 21 tasks O*NET 30.3 lists for Reservation and Transportation Ticket Agents and Travel Clerks, from most to least exposed. 17 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Contact motel, hotel, resort, and travel operators to obtain current advertising literature. 90 Estimated Efficient 2.8
Answer inquiries regarding information, such as schedules, accommodations, procedures, or policies. 85 Observed Efficient 4.4
Examine passenger documentation to determine destinations and to assign boarding passes. 75 Estimated Efficient 4.8
Trace lost, delayed, or misdirected baggage for customers. 75 Estimated Standard 4.8
Provide boarding or disembarking assistance to passengers needing special assistance. 75 Estimated Efficient 4.8
Confer with customers to determine their service requirements and travel preferences. 75 Estimated Standard 4.6
Announce arrival and departure information, using public address systems. 75 Estimated Standard 4.5
Provide clients with assistance in preparing required travel documents and forms. 75 Estimated Efficient 4.5
Prepare customer invoices and accept payment. 75 Estimated Frontier 4.5
Determine whether space is available on travel dates requested by customers, assigning requested spaces when available. 75 Estimated Efficient 4.5
Inform clients of essential travel information, such as travel times, transportation connections, or medical and visa requirements. 75 Estimated Standard 4.4
Open or close information facilities. 75 Estimated Efficient 4.2
Make and confirm reservations for transportation and accommodations, using telephones, faxes, mail, and computers. 75 Estimated Efficient 4.2
Keep information facilities clean during operation. 75 Estimated Efficient 4.0
Provide customers with travel suggestions and information sources, such as guides, directories, brochures, or maps. 75 Estimated Frontier 4.0
Promote particular destinations, tour packages, and other travel services. 75 Estimated Frontier 3.2
Contact customers or travel agents to advise them of travel conveyance changes or to confirm reservations. 60 Estimated Standard 3.3
Check baggage and cargo and direct passengers to designated locations for loading. 50 Estimated Efficient 4.8
Plan routes, itineraries, and accommodation details, and compute fares and fees, using schedules, rate books, and computers. 50 Estimated Frontier 4.4
Maintain computerized inventories of available passenger space and provide information on space reserved or available. 20 Estimated Efficient 4.4
Assemble and issue required documentation, such as tickets, travel insurance policies, or itineraries. 15 Estimated No tier 4.4

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 1 of 21 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 20 of 21. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 77% of the role's importance-weighted task work. 95% of the work is something AI can address at some tier, and 5% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
118,710
Median annual wage
$44,390
Middle half of earners
$37,850 to $59,640
Projected change, 2024 to 2034
+2.8%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Reservation and Transportation Ticket Agents and Travel Clerks and AI

Will AI replace Reservation and Transportation Ticket Agents and Travel Clerks?

AI already handles 17 of the 21 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 67 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +2.8% from 2024 to 2034.

What is the AI exposure of Reservation and Transportation Ticket Agents and Travel Clerks?

67 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 1 of the 21 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 20 are estimated from each task's O*NET work activity.

Which Reservation and Transportation Ticket Agents and Travel Clerks tasks can AI already do?

The tasks with the highest exposure are: Contact motel, hotel, resort, and travel operators to obtain current advertising literature; Answer inquiries regarding information, such as schedules, accommodations, procedures, or policies; Examine passenger documentation to determine destinations and to assign boarding passes. They are three of the 17 tasks that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 77% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Reservation and Transportation Ticket Agents and Travel Clerks, and what do they earn?

118,710 people in the United States, with a median annual wage of $44,390 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +2.8% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Reservation and Transportation Ticket Agents and Travel Clerks. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/reservation-and-transportation-ticket-agents-and-travel-clerks

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