AI-fueled optimism meets private-credit stress: are defaults about to “taint everything”?

At the Milken Institute Global Conference in Beverly Hills on May 4, 2026, multiple top credit and asset-management executives delivered a split message: markets look resilient, but credit risk is likely to rise and persist. Apollo Asset Management Co-President John Zito discussed financial market conditions and investment strategies in the context of AI growth, framing AI as a structural tailwind for capital allocation. PJT Partners Chair and CEO Paul Taubman said retail is unlikely to keep fueling private credit growth, while also arguing that M&A is not accelerating but remains at healthy levels. Strategic Value Partners founder Victor Khosla warned that software-related stress will “taint everything” across credit and expects years of elevated defaults, while Oaktree co-CEO Armen Panossian questioned why markets remain so robust and warned investors about building credit-market risks. Geopolitically, the immediate story is not about borders or kinetic conflict, but about the financial plumbing that underwrites cross-border capital flows and corporate investment. Private credit has become a key channel for funding in the global economy, and when underwriting standards, liquidity, or performance diverge across managers, the risk can propagate into public markets through mark-to-market effects, refinancing walls, and investor risk appetite. The executives’ comments suggest a power shift inside the credit ecosystem: retail-driven growth may be slowing, while dispersion among private credit managers creates room for more selective, opportunistic players. In this dynamic, investors who rely on smooth performance and stable correlations could be the losers, while managers with stronger risk selection and restructuring capabilities could benefit. AI optimism may still support equity and long-duration narratives, but it can also mask credit deterioration if cash-flow quality and covenant protection are weakening. The market implications are concentrated in private credit, performing and non-performing credit strategies, and the broader leveraged-finance ecosystem. Khosla’s expectation of years of elevated defaults points to higher loss rates and wider credit spreads, particularly in software and other growth sectors where revenue visibility can be pressured. Taubman’s view that retail will stop fueling private credit growth implies a potential reduction in incremental demand, which can tighten financing conditions for borrowers and increase refinancing risk. Panossian’s “head-scratcher” about market robustness signals that risk premia may be underpricing tail events, which can translate into volatility for credit ETFs and CLO-related instruments even if headline indices remain stable. While the articles do not cite specific tickers, the direction is clear: downside skew for private credit performance, with spillovers into high-yield, leveraged loans, and structured credit pricing. What to watch next is whether the “software pain” narrative becomes measurable in default and recovery data, and whether dispersion among private credit managers widens further. Key indicators include rising delinquency rates in private credit portfolios, changes in underwriting terms (covenant quality, leverage limits, and interest coverage tests), and evidence of refinancing stress among software and adjacent subsectors. Investors should also monitor whether retail allocation flows into private credit slow as Taubman suggested, and whether that coincides with weaker fundraising or slower deal velocity in private markets. A practical trigger for escalation would be a sustained deterioration in credit performance metrics across multiple managers rather than isolated outliers, which would validate Khosla’s multi-year default outlook. The timeline implied by the speakers is “years,” but near-term volatility could emerge quickly if liquidity conditions tighten or if public-market credit spreads react to private-credit stress.

Geopolitical Implications

• 01

  Private lending stress can transmit into cross-border capital allocation and corporate investment, amplifying macroeconomic effects beyond the US.

• 02

  AI optimism may delay recognition of credit deterioration, raising the risk of abrupt repricing when fundamentals catch up.

• 03

  Dispersion among managers suggests a structural shift toward selective capital providers and tougher refinancing/restructuring dynamics.

Key Signals

• —Delinquency and default metrics in private credit, especially software-heavy portfolios.
• —Retail allocation flows into private credit and changes in fundraising/deal velocity.
• —Underwriting term shifts (covenant quality, leverage limits, interest coverage).
• —Public-market spread widening that correlates with private-credit stress.