AI Automation Index

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

Task-level automation exposure for Reservation and Transportation Ticket Agents and Travel Clerks: 19 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

58% weighted task index

19 of 19 tasks scored

Median Salary

$44,390 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

High

118,710 people hold this job — size, not growth

Projected 2025–35

+2.5% employment change

11,800 openings a year · BLS line item

Pay by state

BLS OEWS publishes 52 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$27,230 – $60,220

Highest medians

Michigan $60,220

Minnesota $60,090

California $49,420

Washington $48,520

Georgia $47,860

Lowest medians

Guam $27,230

Virgin Islands $29,030

West Virginia $34,030

North Dakota $34,870

Kansas $34,940

State figures come from the 43-4181 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 58%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 10%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 31%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 5%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 4/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

19 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 63%

12 tasks

Medium exposure (≥ 35%) 22%

4 tasks

Low exposure (below 35%) 15%

3 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#9750 · Core · 80% automatable

Make and confirm reservations for transportation and accommodations, using telephones, faxes, mail, and computers.

information retrieval — Booking travel and reservations via tools

Make travel, accommodations, or entertainment arrangements for others.

#9757 · Core · 50% automatable

Confer with customers to determine their service requirements and travel preferences.

interpersonal — Customer dialogue needs live presence and adaptation

Discuss goods or services information with customers or patrons.

#9751 · Core · 35% automatable

Prepare customer invoices and accept payment.

physical manipulation — Handling cash/payment collection in person

Collect deposits, payments or fees.

#9752 · Core · 62% automatable

Answer inquiries regarding information, such as schedules, accommodations, procedures, or policies.

information retrieval — AI explains policies; human handles live questions

Explain regulations, policies, or procedures.

#9754 · Core · 80% automatable

Determine whether space is available on travel dates requested by customers, assigning requested spaces when available.

information retrieval — Booking travel and reservations via tools

Make travel, accommodations, or entertainment arrangements for others.

#9767 · Core · 70% automatable

Contact customers or travel agents to advise them of travel conveyance changes or to confirm reservations.

text generation — Routine customer notifications largely automatable

Provide notifications to customers or patrons.

#9763 · Supplemental · 55% automatable

Promote particular destinations, tour packages, and other travel services.

text generation — Promotional materials drafted; human executes outreach

Promote products, services, or programs.

#20436 · Supplemental · 5% automatable

Keep information facilities clean during operation.

physical manipulation — Physical cleaning of facilities and equipment

Clean facilities or equipment.

#20437 · Supplemental · 8% automatable

Open or close information facilities.

situated mobility — Physical security presence in world

Maintain security.

#9758 · Supplemental · 80% automatable

Examine passenger documentation to determine destinations and to assign boarding passes.

information retrieval — Review customer records and summarize

Review customer information.

#9755 · Supplemental · 62% automatable

Inform clients of essential travel information, such as travel times, transportation connections, or medical and visa requirements.

information retrieval — AI explains policies; human handles live questions

Explain regulations, policies, or procedures.

#9749 · Supplemental · 81% automatable

Plan routes, itineraries, and accommodation details, and compute fares and fees, using schedules, rate books, and computers.

data analysis — Cost calculation from structured inputs

Calculate costs of goods or services. Make travel, accommodations, or entertainment arrangements for others.

#9756 · Supplemental · 82% automatable

Maintain computerized inventories of available passenger space and provide information on space reserved or available.

data analysis — Maintain inventory records from provided counts

Maintain inventory records.

#9761 · Supplemental · 70% automatable

Announce arrival and departure information, using public address systems.

text generation — Routine customer notifications largely automatable

Provide notifications to customers or patrons.

#9753 · Supplemental · 83% automatable

Assemble and issue required documentation, such as tickets, travel insurance policies, or itineraries.

data analysis — Compiling data or documentation is largely automatable

Compile data or documentation. Make travel, accommodations, or entertainment arrangements for others.

#9768 · Supplemental · 72% automatable

Contact motel, hotel, resort, and travel operators to obtain current advertising literature.

information retrieval — Web research on goods/services, human verifies vendors

Obtain information about goods or services.

#9764 · Supplemental · 72% automatable

Provide clients with assistance in preparing required travel documents and forms.

text generation — Drafting and completing forms with human review

Assist individuals with paperwork.

#9759 · Supplemental · 8% automatable

Provide boarding or disembarking assistance to passengers needing special assistance.

physical manipulation — Physical assistance for disabled individuals

Assist disabled or incapacitated individuals.

#9766 · Supplemental · 55% automatable

Provide customers with travel suggestions and information sources, such as guides, directories, brochures, or maps.

information retrieval — Transport info lookup automatable; live assistance human

Provide transportation information to passengers or customers.

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Community Sentiment

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Method

How this was scored

1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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