PGIM, the asset management arm of Prudential Financial Inc. has implemented a new safeguard in its collateralized loan obligations (CLOs), setting a hard cap of 15 percent on debt exposed to AI disruption. This structural protection was included as PGIM anchored a recent CLO, reflecting growing institutional concern over AI's potential to destabilize leveraged loan portfolios.
PGIM analysts estimate that about 11 percent of all U.S. CLO portfolios currently hold exposure to sectors facing near-term AI disruption. European CLOs show a lower exposure, estimated at around 7 percent. These figures indicate a portion of the market is already susceptible to AI-driven volatility.
JPMorgan has quantified the risk, identifying up to $150 billion in U.S. CLO-held leveraged loans within sectors facing AI disruption. This represents 15 percent of the total U.S. CLO market, which stands at roughly $1 trillion. The exposure arises from software and technology-adjacent loans, which typically comprise 12 percent to 15 percent of U.S. CLO collateral pools.
Price action in the market reflects this anxiety. Software companies within CLO portfolios have underperformed recently, with AI-related volatility cited as a contributing factor. This underperformance suggests market participants are beginning to price in the risks associated with AI disruption.
A CLO bundles hundreds of leveraged loans into a single vehicle, then divides it into tranches with varying risk profiles. Senior tranches receive payment first and carry the least risk, while equity tranches absorb losses first but earn higher yields.
Capping exposure to a technology trend, rather than a traditional sector classification, represents a new structural mechanism. This approach acknowledges that AI disruption extends beyond conventional industry lines, affecting diverse areas from customer service software to data analytics and cybersecurity.
Edwin Wilches, co-head of PGIM’s securitized products group, has publicly advocated for active management and structural protections in CLO senior tranches. PGIM has also published analyses detailing how AI-driven volatility impacts the performance stability of CLO tranches.
Across the leveraged loan market, CLO managers have been discreetly adjusting portfolios to mitigate AI-related risks. This includes reducing exposure to companies whose business models appear most vulnerable to automation or substitution by AI.
The $150 billion figure from JPMorgan raises questions for the broader market. Leveraged loans serve as a critical funding source for mid-market and growth-stage companies, many of which operate in the sectors most exposed to AI substitution. If CLO managers collectively reduce their allocations to these credits, borrowing costs for technology-adjacent companies could rise.
This increase in borrowing costs could accelerate the distress that CLO managers are attempting to avoid. PGIM’s move indicates a defensive posture adopted by large asset managers to insulate structured credit products from an evolving technological risk profile, suggesting a more cautious lending environment for specific tech segments.
