Op Ed: Consultant Tony O’Connor On The Agentic Trojan Horse

Key Takeaways

• AI booking agents can hide commercial incentives from corporate travelers
• Opaque AI decisions may erode procurement negotiating power and pricing transparency
• Dependence on AI risks de‑skilling travel procurement teams
• Buyers must demand auditability, governance, and revenue‑model disclosure
• Amex GBT and Booking Holdings likely to dominate AI travel platforms

Pulse Analysis

The travel industry is on the cusp of a digital overhaul as agentic AI systems move beyond simple search tools to autonomously select, recommend, and even book corporate trips. Proponents tout faster itineraries, lower administrative overhead, and data‑driven personalization. Yet the same algorithms that surface the “best” option can also embed the revenue interests of airlines, hotels, or the platform itself, steering choices toward higher‑margin products without the traveler’s knowledge. This hidden commercial layer transforms a convenience feature into a potential Trojan horse that subtly reshapes spend patterns.

Because the decision‑making process is hidden behind conversational interfaces, procurement teams risk losing the analytical skills that once underpinned fare construction, benchmarking, and supplier negotiation. As AI platforms learn corporate price tolerance and travel preferences, they can reinforce pricing opacity and weaken a buyer’s leverage. The resulting de‑skilling not only diminishes internal expertise but also raises fiduciary and duty‑of‑care concerns for risk, legal, and finance leaders. Without clear audit trails and governance frameworks, enterprises cannot verify whether recommendations serve the client’s bottom line or the platform’s commission model.

Buyers can blunt these risks by insisting on transparency about revenue streams, requiring independent testing of recommendation logic, and retaining a baseline of manual benchmarking capability. The market is already consolidating around large players such as American Express Global Business Travel and Booking Holdings, whose AI ambitions will likely embed existing commission structures. Early engagement—before these platforms become entrenched—offers the strongest leverage to shape governance clauses, audit rights, and fee‑for‑use pricing models. In a landscape where AI can both add value and conceal profit motives, disciplined oversight will be the decisive competitive advantage.