A staggering 56-58% of middle-market companies brought to market annually for the past three years did not sell, a dramatic increase from the historical average of 10%. This statistic reveals a massive and persistent valuation gap between what sellers expect and what buyers are willing to pay.

While equity markets remain bullish on mega-cap tech, the bond market is flashing a warning. The credit spreads for hyperscalers are widening as they take on massive debt for AI capex. This signals that debt investors, who are often more risk-aware, see growing financial strain that equity investors are ignoring.

Liability Management Exercises (LMEs) that extended debt maturities a few years ago are proving to be temporary fixes, not cures. Many of these same companies are returning for "LME 2.0" because fundamental business issues—like weak consumer demand or high input costs—were never resolved, making the initial "kick the can" strategy ineffective.

Unlike equities, credit markets face a growing risk from the AI boom. As companies increasingly use debt instead of cash to finance AI and data center expansion, the rising supply of corporate bonds could pressure credit spreads to widen, even in a strong economy, echoing dynamics from the late 1990s tech bubble.

Blue Owl's decision to back out of financing an Oracle data center reflects a growing concern among lenders about overexposure to Oracle's massive AI infrastructure commitments. This suggests a potential funding bottleneck for the entire ecosystem as lenders become more cautious.

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.

The AI boom's funding is pivoting from free cash flow to massive bond issuances. This hands control to credit investors who, unlike vision-driven equity investors, have shorter time horizons and lower risk appetites. Their demand for tangible near-term impact will now dictate the market's risk perception for AI companies.

When considering debt, the most critical due diligence is not on deal terms but on the lender's character. Investigate how they have treated portfolio companies during challenging times. Partnering with a lender who will "blow you up" at the first sign of trouble is a catastrophic risk.

Unlike past recessions where defaults spike and then recede, the current high-rate environment will keep financially weak 'zombie' companies struggling for longer. This leads to a sustained, elevated default rate rather than a sharp, temporary peak, as these firms lack the cash flow to grow or refinance.