The AI Debt Bubble, Concentration Risk, and Stranded Assets

In this episode of The Resilience Room, Sam sits down with Corey Ray (Lead Intelligence Analyst) and Rob Klentzeris (Senior Application Security Engineer) to unpack the massive, debt-funded infrastructure boom driving the current AI race. Corey and Rob explain why traditional financial risk metrics fail when evaluating private AI titans, and how this unprecedented CapEx spending impacts enterprise risk models.

The conversation tackles the hidden dangers of "concentration risk" in the AI supply chain, and why increased regulation might inadvertently force a monopoly by pricing out smaller competitors. The trio also draws striking parallels between today's AI data center rush and the 19th-century railroad bubble, introducing the critical concept of "stranded assets"—the devastating local and economic impact if these massive infrastructure and energy grid investments become obsolete.

Finally, they discuss the race to build AI "super apps," the strategy behind vendor lock-in, and where value investors should actually be looking (hint: it's the sci-fi-level hardware and chip fabricators like ASML and TSMC, not necessarily the frontier models).

Topics covered: AI debt financing and financial risk, the AI infrastructure bubble, concentration risk in enterprise tech, regulatory capture, stranded assets and local economies, AI super apps and vendor lock-in, and value investing in the semiconductor supply chain (Nvidia, TSMC, ASML).