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.

A condition called "fiscal dominance," where massive government debt exists, prevents the central bank from raising interest rates to cool speculation. This forces a flood of cheap money into the market, which seeks high returns in narrative-driven assets like AI because safer options can't keep pace with inflation.

Despite recent concerns about private credit quality, the most rapid and substantial growth in debt since the GFC has occurred in the government sector. This makes the government bond market, not private credit, the most likely source of a future systemic crisis, especially in a rising rate environment.

Trillion-dollar tech companies are issuing massive bonds to fund AI CapEx, attracting immense demand from yield-hungry institutions. This 'hoovers' up available capital, making it harder and more expensive for smaller, middle-market businesses to secure financing and deepening the K-shaped economic divide.

While markets fixate on Fed rate decisions, the primary driver of liquidity and high equity valuations is geopolitical risk influencing international trade and capital flows. This macro force is more significant than domestic monetary policy and explains market resilience despite higher rates.

The global shift away from centralized manufacturing (deglobalization) requires redundant investment in infrastructure like semiconductor fabs in multiple countries. Simultaneously, the AI revolution demands enormous capital for data centers and chips. This dual surge in investment demand is a powerful structural force pushing the neutral rate of interest higher.

Dalio argues that the convergence of five historical forces—debt cycles, internal conflict (wealth gaps), shifting world order, acts of nature, and technology—drives major societal changes. Understanding these interconnected cycles provides a clearer long-term perspective than focusing on daily news.

Tech giants are no longer funding AI capital expenditures solely with their massive free cash flow. They are increasingly turning to debt issuance, which fundamentally alters their risk profile. This introduces default risk and requires a repricing of their credit spreads and equity valuations.

Enormous government borrowing is absorbing so much capital that it's crowding out corporate debt issuance, particularly for smaller businesses. This lack of new corporate supply leads to ironically tight credit spreads for large borrowers. This dynamic mirrors the intense concentration seen in public equity markets.