Travel Agents
In short: today's best AI models could do about 60% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about the same by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 40% of the time, stays with people.
Plan and sell transportation and accommodations for customers. Determine destination, modes of transportation, travel dates, costs, and accommodations required. May also describe, plan, and arrange itineraries and sell tour packages. May assist in resolving clients' travel problems.
55,110 people do this job in the US. $50,160 a year.
Reviewed on October 18, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on2 h
- A person checks AI's work22 h
- Desk work AI can't do yet0 h
- Stays with people16 h
Travel Agents, now: of a 40-hour week, AI could take on 2 hours, 22 hours become checking its work, 0 hours are desk work it can't do yet, and 16 hours stay with people.
The largest pieces: Plan and sell tour packages (about 14 h, a person checks); Compute and quote travel costs (about 3 h, a person checks); Book travel and hotels (about 2 h, a person checks).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 30%
- 31%
- 36%
- 4%
- 0%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
What handing it over would take, now
The 60% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.
of the working time. The material can be handed to a model and the result handed back.
of the working time. The model has to be connected to the system the work lives in.
is conversation short enough by length. This site leaves conversation with people, so it is not in the total.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 4%. With Claude Mythos Preview (early), measured in April 2026, 36%. Today's estimate: 60%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 8 tasks showed up. Within each of Anthropic's methods, never across a change: 0.027% to 0.017% (released February and March 2025); 0.05% to 0.055% (August 2025 to February 2026); 0.011% to none (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.027% | 391 of 708 | 4 of 8 |
| Released March 2025 | 0.017% | 439 of 703 | 3 of 8 |
| The week of Aug 4, 2025 (released September 2025) | 0.05% | 246 of 655 | 5 of 8 |
| The week of Nov 13, 2025 (released January 2026) | 0.039% | 275 of 672 | 5 of 8 |
| The week of Feb 5, 2026 (released March 2026) | 0.055% | 242 of 677 | 5 of 8 |
| April 2026 (released June 2026) | 0.011% | 399 of 434 | 1 of 8 |
| May 2026 (released June 2026) | none | n/a | 0 of 8 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates almost none of this job's working time as physical work, so robots do not reach it.
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
What changes for the people in this job
From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.
What stays with people
40% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Plan and sell tour packages, the conversation, 24%
- Learn what the customer wants, the conversation, 12%
- Book travel and hotels, the conversation, 1%
- Give customers travel information, the conversation, 1%
- Collect payment from customers, the conversation, 0.8%
What becomes checking the machine
55% of the working time: desk work a model could do by then, in tasks where a mistake costs something or a licensed person signs. A person checks it. Another 6% is desk work that is small if wrong, which can be handed over with lighter checks.
- Plan and sell tour packages, costly if wrong, 36%
- Compute and quote travel costs, costly if wrong, 8%
- Book travel and hotels, costly if wrong, 6%
- Issue carrier tickets, costly if wrong, 3%
- Collect payment from customers, costly if wrong, 2%
What to learn
- Reviewing work you did not do yourself. The tasks under What becomes checking the machine, where a mistake costs something, stay a person's to check: spotting what a draft gets wrong is a skill of its own.
- Dealing with people outside the organization. Customers, patients, suppliers or the public: trust with them is built by a person.
- The conversations. About 40% of the time is conversation and in-person work, which this site leaves with people: listening, explaining, persuading, calming.
- Running AI inside the business systems. About 31% of the time is work inside business systems, which a model can do only once it is connected: knowing the systems well enough to set that up and watch it.
- Briefing a model and checking its drafts. About 30% of the time is documents and data, the part models reach first: writing a clear brief, giving the right material, and checking what comes back.
Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).
The tasks
Sorted by . 8 tasks from .
| Task | ||||
|---|---|---|---|---|
| Plan, describe, arrange, and sell itinerary tour packages and promotional travel incentives offered by various travel carriers.Putting the itinerary together, selling it to the customer and arranging it with the carriers.Done several times a day by most who do it. AI observed on this task. | 61% | 2.5 h50 min to 5 h | Documents 40%, conversation 40%, systems 20% | 59%Desk part half by now |
| Converse with customer to determine destination, mode of transportation, travel dates, financial considerations, and accommodations required.Talking with the customer about where, when, how and for how much, mostly by phone.Done daily by most who do it. AI observed on this task. | 12% | 33 min13 min to 1.1 h | Conversation 70%, in person 30% | Stays with people |
| Compute cost of travel and accommodations, using calculator, computer, carrier tariff books, and hotel rate books, or quote package tour's costs.Working out fares and rates from the tariffs and systems and quoting the customer.Done daily by most who do it. | 8% | 21 min8 min to 50 min | Documents 50%, systems 50% | 100%Half by now |
| Book transportation and hotel reservations, using computer or telephone.Making the reservations in the booking systems, with a call where the system cannot.Done daily by most who do it. | 7% | 21 min8 min to 1.3 h | Systems 80%, conversation 20% | 80%Desk part half by now |
| Record and maintain information on clients, vendors, and travel packages.Keeping the client profiles, vendor details and package records current.Done daily by most who do it. | 4% | 13 min4 min to 38 min | Systems 100% | 100%Half by now |
| Collect payment for transportation and accommodations from customer.Taking the customer's payment over the phone or online into the booking.Done several times a day by most who do it. | 3% | 8 min4 min to 21 min | Systems 70%, conversation 30% | 70%Desk part half by now |
| Print or request transportation carrier tickets, using computer printer system or system link to travel carrier.Printing or requesting the tickets through the carrier's system.Done several times a day by most who do it. | 3% | 8 min4 min to 25 min | Systems 100% | 100%Half by now |
| Provide customer with brochures and publications containing travel information, such as local customs, points of interest, or foreign country regulations.Sending the brochures and guides and going through them with the customer.Done several times a day by most who do it. AI observed on this task. | 2% | 13 min4 min to 33 min | Documents 50%, conversation 50% | 50%Desk part half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Reservation and Transportation Ticket Agents and Travel Clerks36% now, 36% by 2028
- Travel Guides39% now, 41% by 2028
- Counter and Rental Clerks23% now, 23% by 2028
- Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel59% now, 60% by 2028
- Customer Service Representatives64% now, 64% by 2028
- Telemarketers56% now, 56% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Travel Agents is within reach of AI now?
- An estimated 60% of the working time is within reach of AI models now and 60% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Travel Agents come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Plan and sell tour packages (59% of the task's time now); Compute and quote travel costs (100% of the task's time now); and Book travel and hotels (80% of the task's time now).
- Which tasks of Travel Agents stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Learn what the customer wants. Together such tasks are about 12% of the working time, and the people and body parts of the other tasks stay with people too.
- What should Travel Agents learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are reviewing work you did not do yourself; dealing with people outside the organization; and the conversations. By the end of 2028 on the long-run pace at four in five, about 40% of the working time stays with people, 55% becomes checking a model's work and 6% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
- Do people already use AI for the work of Travel Agents?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 41%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Travel Agents?
- Anthropic's robot exposure rating (September 2026) finds almost none of the working time is physical work, so robots do not reach it.
- How is this estimated?
- From the 8 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on October 18, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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