
UBS expects private credit default rates to rise from about 4.4% currently to 9% to 10% by the end of 2026, with AI-related disruption adding another 3% to 4% of default risk. Software companies appear most exposed as AI pressure could slow revenue growth, weaken pricing power, compress margins, and trigger contract cancellations, with stress potentially spilling into leveraged loans and high-yield bonds. UBS said the market is not systemically risky in its base case, but warned that a severe software downturn could tighten lending conditions and constrain AI-related funding in 2027.
The market is still treating AI as a capex super-cycle, but the more interesting second-order effect is balance-sheet contagion: as AI compresses software unit economics, the weakest borrowers won’t be the hyperscalers but the levered “picks-and-shovels” layer that financed growth off recurring-revenue assumptions. Once refinancing windows tighten, the first transmission channel is not outright default but covenant pressure, forced repricing, and lender terms that slow M&A and customer acquisition — a negative feedback loop for smaller enterprise software vendors and private equity portfolios exposed to them. The spread setup argues for a gradual rather than instantaneous dislocation. Private credit is the canary, but leveraged loans and high yield should lag by several quarters because overlapping holders will initially absorb marks before selling pressure forces de-risking; that makes 2H26 the key inflection, not the next few weeks. The hidden beneficiary is incumbent scale: larger software and infrastructure vendors with distribution, cash flow, and bundled products can use the turmoil to take share from subscale competitors while financing conditions worsen for the rest. Consensus is likely underestimating how concentrated the pain can be before it becomes systemic. If defaults cluster in software, banks and BDCs with indirect exposure can appear fine on headline loss ratios yet still retrench lending, which matters more for 2027 revenue growth than the defaults themselves. The upside surprise for risk assets would come only if AI monetization improves fast enough to offset pricing pressure — otherwise the market is looking at a late-cycle credit event disguised as a productivity story.
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