The AI boom is fueled by 'club deals' where large companies invest in startups with the expectation that the funds will be spent on the investor's own products. This creates a circular, self-reinforcing valuation bubble that is highly vulnerable to collapse, as the failure of one company can trigger a cascading failure across the entire interconnected system.

Unlike prior tech revolutions funded mainly by equity, the AI infrastructure build-out is increasingly reliant on debt. This blurs the line between speculative growth capital (equity) and financing for predictable cash flows (debt), magnifying potential losses and increasing systemic failure risk if the AI boom falters.

The dot-com bubble burst in a specific sequence: consumer-facing companies failed first, followed by their business-to-business suppliers, and finally the core infrastructure providers. A similar pattern of contagion is predicted for the AI sector, with cracks first appearing in consumer-focused applications.

Widespread credit is the common accelerant in major financial crashes, from 1929's margin loans to 2008's subprime mortgages. This same leverage that fuels rapid growth is also the "match that lights the fire" for catastrophic downturns, with today's AI ecosystem showing similar signs.

A new risk is entering the AI capital stack: leverage. Entities are being created with high-debt financing (80% debt, 20% equity), creating 'leverage upon leverage.' This structure, combined with circular investments between major players, echoes the telecom bust of the late 90s and requires close monitoring.

OpenAI's massive, long-term contracts with key infrastructure players mean its success is deeply intertwined with the market. If OpenAI falters, the ripple effect could crash stocks like NVIDIA, Oracle, and Microsoft, potentially bursting the AI bubble.

The capital financing AI—from venture and credit to public markets—is so deeply interwoven that the system is fragile. Experts warn this creates systemic risk where a single negative event, like a major struggling AI IPO, could rapidly shift sentiment from the current "peak buoyancy" and trigger a broad market correction.

The systemic risk from a major AI company failing isn't the loss of its technology. It's the potential for its debt default to cascade through an opaque network of private credit and other lenders, triggering a financial crisis.

While AI growth seems organic, low interest rates encourage even healthy companies to take on excessive debt. This is happening now, with some AI-related firms seeing decreasing free cash flow as leverage increases. The private credit market is already showing signs of nervousness about this trend.