An AI startup that just raised $1 billion in Series C funding is making a bold claim: it's reimagining how people move through the world. According to TechCrunch, Instinct founder Noah Shinn revealed that over 50% of transactions on his invite-only platform are travel-related, with the company approaching a billion dollars in annual transaction volume.
The pitch is straightforward: instead of searching five different airline and hotel websites, your AI agent does it for you, comparing options and booking within seconds. Shinn argues this is better than the traditional travel-agency model, especially for urgent scenarios. "Hey, I need to be in New York tonight; it's urgent," he explained in a recent podcast with investor Patrick O'Shaughnessy. The platform is growing 10% daily, TechCrunch reports.
But the restaurant reservation feature has drawn criticism. Shinn suggested AI agents could monitor restaurant availability every five seconds, then pitch users as "special occasion" diners to bump them ahead in line. The concern is immediate: what stops agents from lying about anniversaries and life events to game the system? A regular customer who eats at a restaurant weekly could lose a reservation because an AI claimed someone had a birthday. Shinn has not explained how Instinct plans to verify these claims or prevent coordinated manipulation. The friction could quickly undermine the platform if restaurants see fake "special occasions" devalue their reservation systems.
Instinct is competing against other AI personal agents, Meta's Muse and Khosla-backed Wajo are also operating in this space. What sets Instinct apart is its positioning as a concierge layer that reshapes entire industries around consumer convenience. But convenience without trust creates chaos. Whether restaurants, airlines, and hotels embrace this agent-mediated future depends on whether the system feels fair to all parties.
Instinct raised $1 billion at a $10 billion valuation from Sequoia Capital, Benchmark Capital, and Coatue on Monday. The funding backs real ambition, but also creates real pressure to deliver results before partners and the public lose confidence in the model.
