The massive capital required for AI infrastructure is pushing tech to adopt debt financing models historically seen in capital-intensive sectors like oil and gas. This marks a major shift from tech's traditional equity-focused, capex-light approach, where value was derived from software, not physical assets.

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.

For the first time ever, the software sector is trading at a discount to the S&P 500 on a free cash flow multiple basis. The median software business trades at 18-19x free cash flow, compared to the S&P 500's 28x, signaling a historically cheap valuation for the sector.

Unlike public companies, highly leveraged SaaS firms bought by PE face a brutal reckoning. With no growth to pay down debt, they must slash headcount and R&D. This leads to a long, nasty grind of declining quality and market relevance, even if customer inertia keeps them alive for years.

With fewer traditional credit cycles, the most fertile ground for distressed investing lies in industry-specific downturns caused by technological or policy shifts. These "microcycles" offer opportunities to invest in good companies working through temporary, concentrated disruption.

Unlike the great financial crisis, recent credit cycles have been confined to specific sectors (e.g., energy, and now potentially software) rather than broad, macro-driven downturns. Without the ingredients for a deep recession, current stress in software is unlikely to cause contagion across the wider credit markets.

Investor uncertainty about the long-term viability of software business models due to AI is causing a fundamental shift in valuation. Instead of paying a premium for future growth, investors are now demanding immediate returns like dividends, effectively treating established software firms as value stocks rather than growth stocks.

The enormous capital needed for AI data centers is forcing a shift in tech financing. The appearance of credit default swaps on Oracle debt signals the re-emergence of large-scale debt and leverage, a departure from the equity and free-cash-flow models that have characterized the industry for two decades.

Once considered safe due to low CapEx and recurring revenue models, the technology sector now shows significant credit stress. Investors allowed higher leverage on these companies, but the sharp rise in interest rates in 2022 exposed this vulnerability, placing tech alongside historically troubled sectors like media and retail.