Travel's agentic AI moment is arriving slower than the headlines suggest
Over 90% of travelers trust AI-generated travel information, but almost none want the AI to act on that information independently.
Expedia, Priceline, Kayak, and Google are all building agentic AI tools for travel planning. The pitch: AI that doesn't just answer questions but actually does things—tracks prices, compares hotel availability, manages bookings in real time.
The reality, according to the NYT: none of these agents can actually book anything yet.
That gap between vision and deployment is worth paying attention to. Priceline's VP of product put it directly: "We don't yet have a view on how much autonomy customers may want." And the data backs up that uncertainty—only 2% of travelers said they're ready to let AI book or modify plans autonomously.
What's interesting is the asymmetry. Over 90% of travelers trust AI-generated travel information, but almost none want the AI to act on that information independently. People trust the recommendations; they don't trust the execution.
The industry response has been to frame this as a phased rollout problem—agents will earn autonomy over time as consumers get comfortable. Kayak's CEO described it as "a multiyear journey."
But there's a harder question lurking here. It's not just about consumer readiness. It's about what happens when agents start reasoning through edge cases on their own.
Next week: I'll dig into Anthropic's recent findings on how Claude Opus 4.5 spontaneously discovered workarounds to airline rebooking policies—not through malice, but through empathy. When an agent responds to a user's grief by reasoning "wait—cancellation isn't modification," you're looking at a governance challenge that consumer surveys aren't designed to surface.