The Traditional Travel Agent Model
Travel agents have existed in one form or another since the mid-19th century, when Thomas Cook organised the first commercial package tour. For most of the 20th century, they were the primary way most people booked international travel. The internet disrupted this model significantly in the 2000s, when platforms like Expedia, Booking.com, and Kayak gave consumers direct access to flight and hotel inventory. The agent's role shifted from booking intermediary to value-added consultant for complex trips, luxury travel, and those who wanted personalised service. In 2026, AI is applying similar pressure to that remaining value-add layer — and the results are forcing the travel industry to rethink the role of the human agent entirely.
What AI Now Does Better Than Any Agent
A good travel agent used to spend forty-five minutes to an hour building a personalised itinerary based on a client brief. They would pull from their experience of destinations they had visited, consult their supplier network, and produce a structured plan. AI tools like FigFinder can do a version of this in under sixty seconds, at any time of day, without a booking fee, and without requiring an appointment. The speed advantage alone is significant. For straightforward trips — a week in Southeast Asia, a city break in Europe, a road trip in the United States — AI planning tools now match or exceed what a general-purpose travel agent can produce in terms of itinerary quality and personalisation.
Speed — From Brief to Itinerary in Under a Minute
The most obvious differentiator is speed. When you use FigFinder, you answer a series of targeted prompts: where you are travelling from, where you want to go, your dates, your budget, your travel style, your accommodation preference, and who is coming with you. Within seconds, a complete day-by-day itinerary appears. Hotel recommendations, activity picks with descriptions, restaurant suggestions, booking links to flights and hotels, destination essentials, packing list, and arrival guide — all generated in the time it would take a human agent to say hello and pick up a pen. This is not an approximation of the agent experience. It is a fundamentally different and faster workflow.
Personalisation at a Scale No Agent Can Match
The best human travel agents build relationships over years and develop a deep understanding of their clients' preferences. That is a genuine and valuable form of personalisation. But AI achieves a different kind of personalisation: instant contextual adaptation. Every prompt input changes the output. Solo traveller on a $50-a-day budget visiting Japan for two weeks in October: the itinerary will look completely different from a couple celebrating an anniversary with a $5,000 budget for ten days at the same destination. The AI adapts to those parameters immediately and throughout, not just at the hotel selection level but at the activity type, dining price point, pace of days, neighbourhood selection, and transport mode level.
Price and Accessibility
Traditional travel agents typically charge a booking fee (ranging from $50 to $150 for a standard trip) or earn commissions from suppliers, which can influence recommendations. AI travel planning tools are either free or charge a small flat fee for premium features. FigFinder is free to use, with the PDF download available for $2.99. This price point removes a significant barrier. A first-time traveller planning a modest trip does not need to pay an agent's consultation fee for help with basics. A budget traveller can get the same quality of itinerary assistance as someone spending ten times as much. Democratised access to quality travel planning is one of the genuine achievements of AI in the travel space.
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What AI Still Cannot Do
The honest assessment is that AI has clear limitations. It cannot build the relationship-based trust that a long-term travel agent provides. It cannot handle genuinely complex edge cases — a medical evacuation mid-trip, a bespoke luxury experience at a small property that is not indexed online, a personalised Michelin-star restaurant booking negotiated directly with a maître d'. It cannot advocate on your behalf with an airline when a flight is cancelled and you are stranded. And it lacks the real-world, lived-in knowledge that the best specialist agents have for specific destinations they have visited dozens of times. For complex, luxury, or emergency scenarios, human expertise remains irreplaceable. The question is whether the vast majority of trips — which are not complex, not luxury, and do not go wrong — need that human layer.
The Hybrid Model — AI Plus Human Expertise
The most intelligent response to the AI disruption in travel is not to compete with it but to integrate with it. The best agents in 2026 are using AI tools to automate the itinerary-building stage so they can focus entirely on the value-added layers: relationship building, bespoke sourcing, real-time problem solving, and the kind of nuanced local knowledge that comes only from experience. An agent who builds a complete draft itinerary in thirty seconds using AI and then spends their time refining it and adding exclusive experiences is more productive than one who builds every itinerary from scratch. The tools enable rather than replace the expert.
FigFinder Pro — AI for Travel Agents and Tour Operators
FigFinder has recognised this hybrid opportunity with FigFinder Pro, a white-label version of the AI planning platform built specifically for travel agents, tour operators, and destination management companies (DMCs). FigFinder Pro allows agents to embed the AI planning interface into their own website, capturing traveller enquiries 24 hours a day and converting them into structured trip requests before the agent even comes online. The traveller gets an immediate, satisfying planning experience. The agent gets a qualified lead with a complete trip brief already filled in. This is the practical embodiment of the hybrid model: AI handles first contact and initial planning, the human expert handles fulfilment and relationship.
The Future of the Travel Industry
The travel industry is not going to look the same in 2030 as it does today. The clearest trajectory is a bifurcation: AI tools handling the enormous volume of standard trip planning (the city breaks, the beach holidays, the backpacker routes, the family packages), while specialist human agents focus on the genuinely complex and high-value end of the market (bespoke luxury, expedition travel, complex multi-region itineraries requiring supplier relationships). For most travellers most of the time, AI planning tools are already more than good enough. The travellers who have understood this are planning better trips faster and at lower cost. The agents who have understood this are using AI to serve more clients at higher margins. The ones who have not adapted are the ones feeling the squeeze.
