AI trip planners and airline chatbots are everywhere in 2026—so why French travel agencies still bet on humans

July 9, 2026 is shaping up as a turning point for how people plan and manage travel: artificial intelligence now powers everything from route searches to in-trip help. Recommendation engines, chatbots and data analysis promise faster, more personalized itineraries—cutting down the hours travelers spend comparing options.

But even as automation spreads, tourism professionals in France are making a clear case that a human advisor still matters when the stakes are high. Their argument is simple: travel isn’t a routine online purchase. It involves real money, limited time—and a level of uncertainty that software still struggles to handle when plans go sideways.

A French agency president says customers still want a real person

In comments carried by Air Journal, Philippe Taïeb, president of the agency De (as named in the article), addressed a question that keeps coming up in the age of the internet and AI: why keep investing in brick-and-mortar travel agencies?

His answer, boiled down to a single line, is that customers ask for human contact. Taïeb’s point isn’t that digital tools are useless. It’s that travel decisions come with complexity and risk—enough that many people still want someone who can explain, prioritize and make judgment calls.

In that view, the advisor’s job goes well beyond booking. The counselor acts as a filter and translator for offers that have become increasingly complicated: baggage rules, fare conditions, insurance, layovers, entry requirements and service categories. An AI-powered search engine can surface options in seconds, but a hesitant customer often needs help ranking tradeoffs based on real constraints—budget, pace, risk tolerance and family needs.

Taïeb’s defense of the physical agency also reflects a basic reality: automation hasn’t eliminated the unexpected. Delays, cancellations, overbookings, last-minute changes—or simply misunderstandings about what’s included—can quickly turn into stress because they hit during a narrow window: a vacation, a business trip, a family event. In those moments, having an identified person to call can matter, especially when travelers don’t know whether to turn to the airline, a booking platform, a hotel or an insurer.

That’s why many agencies are trying to integrate AI without letting it define them. In agency networks, generative AI is already used to speed up prep work—summarizing reviews, pre-sorting routes, suggesting activities and drafting itinerary outlines. But Taïeb’s emphasis is on what customers don’t always see: relationship, hands-on support and accountability. A guided sale can also reduce misunderstandings, prevent mismatched choices and cut down on complaints—helping both the traveler and the professional.

Recommendation engines tailor routes, budgets and constraints

The biggest AI contribution to tourism is personalization—made possible by processing massive amounts of data: search history, stated preferences, reviews, seasonality, dynamic pricing, geolocation and buying behavior. Industry coverage describes “ultra-personalized” planning, with itinerary proposals adjusted to available time, desired comfort level and budget. On paper, the pitch is straightforward: fewer hours comparing, more relevant suggestions.

In practice, these systems can optimize a chain of bookings—flight, hotel, transfers, activities—while accounting for constraints that can conflict. For a couple traveling with a child, for example, the tool might favor direct routes, sleep-friendly schedules, shorter distances between lodging and attractions, or refundable options. For business travel, it may prioritize reliability, flexibility and proximity to meeting locations. The same logic extends to alerts: price drops, schedule changes, weather and expected crowding.

Industry players also see AI as a productivity boost. Work that used to be manual—collecting offers, comparing them, formatting proposals—can be automated, freeing up time for client conversations. In agencies, tools can generate proposals faster, standardize certain documents and make follow-up easier. For travelers, 24/7 chatbot assistance can handle basic questions—check-in instructions, baggage allowances, local transportation—without waiting.

But personalization comes with a downside: it relies on data and rules that aren’t always transparent. Recommendations can reflect commercial priorities, distribution deals or platform-driven visibility bias. Sector analyses also point to a risk of overconfidence—travelers may follow a suggestion because it looks polished, without checking essential details. The time savings can be real, but the effort shifts to a different skill: knowing what to verify, cross-check and understand.

Accuracy, accountability and transparency remain the gray areas

The most frequently cited limit is reliability. Mainstream articles note that AI tools can provide useful information but sometimes get it wrong—especially when they’re synthesizing mixed or outdated sources. In travel, a small error isn’t trivial: a misread schedule, a missed entry requirement or a misunderstood fare rule can mean extra costs, a lost night or even being denied boarding. The issue isn’t AI itself, but how easily a plausible answer can be mistaken for a true one.

Accountability is another sensitive point. When an itinerary is generated automatically, who is responsible if it doesn’t make sense—the platform, the supplier, the model developer, or the user who didn’t verify it? Agencies argue they offer a clearer framework: an identifiable advisor and company, liability insurance and complaint procedures. For customers, that clarity can matter as much as price, especially for high-ticket trips—long-haul travel, multi-stop itineraries, cruises and group travel.

Data handling also raises questions. Personalization requires collecting and analyzing personal information—preferences, habits and sometimes location data. Travelers often accept that tradeoff for speed. But tourism combines particularly sensitive elements: dates when someone is away from home, precise routes, payment methods and identity documents. Professionals stress the need for strong security, clear retention policies and plain-language communication without technical jargon.

Finally, AI doesn’t solve every part of decision-making. It can optimize a route, but it struggles with subjective criteria: noise tolerance, neighborhood vibe, a sense of safety, a style of hospitality, or the pleasure of a slower pace. Those details often determine satisfaction. Experience suggests travelers like AI for preparation, but seek human validation when the stakes turn emotional—traveling with an elderly parent, planning a honeymoon, or managing a medical constraint.

Airports are automating fast—but people still decide the outcome when something breaks

Airports are one of the most visible arenas for automation. Passenger journeys have for years included kiosks, streamlined checks and, in some countries, biometric systems designed to speed up certain steps. Travel tech analyses describe airports where identification and traffic management rely more heavily on digital systems, with a clear goal: reduce waiting, improve on-time performance and absorb traffic growth without endless lines.

But that industrialization doesn’t eliminate the need for humans—it shifts it. The more automated the system, the more critical an incident becomes: a stuck bag, a missed connection, an unaccompanied minor, a passenger with reduced mobility, a rejected document, a security alert. When the process jams, resolution requires a decision, a judgment call, sometimes an exception. Ground staff and customer service become the last link—the one that turns a general rule into an individualized solution.

Airlines and airports also weigh efficiency against public acceptance. Some travelers are uncomfortable delegating identity checks entirely to machines, especially when biometric data is involved. And because tourism is inherently international, standards vary widely. What’s routine at a major hub may be rare elsewhere, and the traveler’s experience can hinge on the most traditional link in the chain: a regional airport, a local carrier, an independent hotel.

In that context, the industry is leaning toward a hybrid model. Digital tools improve real-time information—gates, delays, alternatives—and handle basic assistance. But perceived quality still often comes down to being able to reach a person quickly who has the power to act. Agencies use that reality to reinforce their role: building in buffers, choosing less risky connections, recommending insurance, or offering backup plans. Technology speeds the flow, but the experience often turns on the moment the flow breaks.