Alex Golbin
At the 2026 AI summit in New York, Aaron and Arjun move through an expo floor showcasing “instant workforces” and plug-and-play agents. At a quiet stand, Mitch Collins warns them about Digital Asbestos—legacy code wrapped in modern interfaces, stable until stress reveals the brittleness beneath. Over side sessions with guest experts, they hear early versions of ideas that will later define the crisis: the fragility of over-optimized systems, the cognitive overload facing human decision-makers, and the yawning knowing–doing gap between what leaders understand about AI risk and what they actually implement. The tragedy is sobering and straightforward: almost every critical warning of 2038 is already on the table in 2026—and still, the world chooses speed.