COOKED
The core of this job — searching fares and hotel inventory, comparing options, building itineraries, issuing tickets, processing changes and refunds — is screen work that online booking engines already ate and that AI agents now do conversationally end-to-end. What survives is the relationship tier: complex multi-country and multi-generation trips, cruise and tour group blocks, destination weddings, corporate travel with duty-of-care obligations, and being the human who answers the phone when a flight cancels at 2am in a foreign airport. There is no licensure moat; 'seller of travel' registration in a handful of states is a filing, not a professional signature.
Nearly all of this fall was the 2020 shock. It has been climbing back since.
Median pay $40,660 → $50,160 -1.3% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+2.2%
Percentage only. The projection counts a different population from the 55,110 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +2.2% more of these jobs by 2034. Demand for the output is growing faster than the work is being automated away — the mechanism BLS gives for software developers, and the combination people most often misread as an error.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~7,100 openings a year on average, including replacing people who leave.
Tour AgentBeach ExpertTravel AgentBooking AgentTour CounselorTravel PlannerTour CoordinatorTravel CounselorVacation PlannerTravel ConsultantTravel SpecialistTravel CoordinatorTravel Sales AgentTravel ProfessionalLeisure Travel AgentAuto Travel CounselorCorporate Travel AgentDestination SpecialistCorporate Travel ExpertTravel Service ConsultantVirtual Travel ConsultantBusiness Travel ConsultantCertified Travel CounselorCorporate Travel Counselor
Holding it up: trust premium . Weakest point: liability shield .
Core tasks are already automatable Fare and availability search, GDS booking, itinerary assembly, and change/refund processing are all keystroke work on Sabre/Amadeus/Apollo screens that consumer booking sites automated two decades ago and that LLM agents now chain together with payment APIs — a 4 reflects that even the harder end (multi-city award routing, cruise cabin holds, group blocks) is inventory lookup against published rules, not something that resists digitisation.
Fully desk- and screen-based You work from a desk, a phone, and a booking terminal; the 3 rather than 0 covers site inspections, FAM trips, cruise-ship walkthroughs, and escorting tour groups through airports, which some agents do a few times a year and most never do at all.
No licence, no signature requirement No licence, no exam, no personal signature: California, Florida, Washington, Hawaii and Iowa 'seller of travel' registration is a bond and a fee paid by the agency, and when a supplier defaults the exposure lands on the operator, the ARC bond, or the client's credit-card chargeback — the 2 rather than 0 is only for that registration existing at all.
Executes defined procedures on defined inputs You exercise real discretion on supplier choice, insurance recommendations, visa and entry-requirement warnings, and rerouting during disruption, but it sits at 6 because the decisions run against published fare rules, supplier cancellation policies, and State Department advisories rather than ambiguous calls you personally own the consequences of.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (4/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (2/20) is whether the law requires a licensed human to sign. Trust premium (12/20) is whether buyers specifically pay for a person. Judgment and accountability (6/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 20 of this occupation's 27 points (74%).
Embodiment (3/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products EXPOSED
Insurance Sales Agents EXPOSED
Fundraisers EXPOSED
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 39/100 — EXPOSED.
Continued shift of high-end leisure to fee-based advisory: consortia like Virtuoso and Signature charge planning fees ($150-500) and sell supplier-side perks (upgrades, credits) that AI agents cannot access because they depend on named-human relationships with hotel GMs and cruise BDMs. If more suppliers formalize advisor-only inventory and commission structures that require a consortium-member human of record, the premium hardens.
Task-mix shift: once conversational AI absorbs point-to-point air and single-hotel booking entirely, the residual caseload is multi-supplier group blocks, destination weddings, and 2am re-accommodation under irregular operations — negotiation with humans at airlines and hotels, not search. The job that remains is the tier AI handles worst.
Corporate duty-of-care becoming a contractual deliverable: if more large employers' travel policies and insurers require a named travel management company contact accountable for traveler tracking and crisis evacuation decisions (as ISO 31030 travel risk management guidance encourages), the role owns consequential calls during disruptions rather than just booking.
Meaningful only if a state upgraded 'seller of travel' registration from a filing into a licensed fiduciary with personal liability for misrepresentation — California SB 2933-style trust-account rules are the closest existing hook, and even those are consumer-fund custody, not professional signature. No bill currently proposes a signing requirement.
The limit. Even with all of these, this stays a small-occupation, relationship-tier job: the levers protect a shrinking high-margin slice, not headcount. Realistic ceiling around 40-45, and the trust premium is generational — it depends on clients who already have an advisor.
| Miami-Fort Lauderdale-West Palm Beach, FL | 4,560 | $50,720 +1% |
| New York-Newark-Jersey City, NY-NJ | 3,610 | $58,430 +16% |
| Orlando-Kissimmee-Sanford, FL | 2,190 | $48,680 -3% |
| Los Angeles-Long Beach-Anaheim, CA | 2,160 | $50,440 +1% |
| Chicago-Naperville-Elgin, IL-IN | 1,740 | $49,160 -2% |
| Atlanta-Sandy Springs-Roswell, GA | 1,600 | $48,880 -3% |
| Boston-Cambridge-Newton, MA-NH | 1,490 | $58,890 +17% |
| Dallas-Fort Worth-Arlington, TX | 1,430 | $48,410 -3% |
| Bozeman, MT | 60 | $67,440 +34% |
| Bridgeport-Stamford-Danbury, CT | 320 | $62,870 +25% |
| Bend, OR | 40 | $61,570 +23% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 27. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.