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Harley Bassman argues that the enormous debt financing the AI boom is being issued by profitable hyperscalers like Google and Microsoft, not startups. He believes their strong underlying cash flows make the bonds safe, even if equity holders suffer from intense capital spending.

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The AI revolution is being financed through massive bond issuance by tech giants. This debt fuels CapEx, which becomes top-line revenue for other companies. The cycle could be extended if this debt is integrated into passive high-yield indices, attracting more capital.

Major tech "hyperscalers" are issuing massive amounts of debt to fund AI CapEx. This issuance is driven by competitive necessity, making it largely insensitive to broader economic volatility or funding costs. This new dynamic is a significant driver of record corporate bond supply.

Massive debt issuance by AI hyperscalers is fundamentally altering the U.S. investment-grade credit market. The tech sector's debt footprint is on track to exceed that of the entire U.S. banking sector, a significant structural change from the market's historical tilt towards financials.

Major hyperscalers with AA ratings are relatively insensitive to higher borrowing costs because their expected returns on AI investments exceed 25%. In contrast, lower-quality developers are constrained by wider spreads, making funding costs a 'natural stabilizer' of new supply from smaller players.

While AI represents the largest segment of corporate debt, the risk is not yet systemic. The current build-out is primarily financed by the massive free cash flow from operations of megacap tech companies, not excessive leverage. The real danger emerges when this shifts to debt financing that cash flow cannot support.

Unlike the dot-com or shale booms fueled by less stable companies, the current AI investment cycle is driven by corporations with exceptionally strong balance sheets. This financial resilience mitigates the risk of a credit crisis, even with massive capital expenditure and uncertain returns, allowing the cycle to run longer.

Unlike M&A financing with a clear deleveraging path, the AI investment cycle represents a permanent use of debt capacity. This unprecedented scale requires investors to re-evaluate long-term credit risk, concentration limits, and ratings for hyperscaler companies.

Unlike past tech booms funded by venture capital, the next wave of AI investment will come from hyperscalers like Google and Meta leveraging their pristine balance sheets to take on massive corporate debt. Their capacity to raise capital this way dwarfs the entire VC ecosystem, enabling unprecedented spending.

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.

Unlike the dot-com bubble's weak issuers, the current AI debt boom is driven by investment-grade giants. However, the risk is that these stable companies are using debt to finance speculative, 'equity-like' technology ventures, a concerning trend for credit investors.