
AI Is Killing Legacy Software So Fast That Wall Street's Loans Are Going Bad. Blackstone Just Locked the Exits.
Legacy software firms loaded with debt are defaulting as AI disrupts their business models. Private credit funds are gating redemptions.
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The AI revolution has its first real financial casualty, and it is not a tech company. It is the multi-trillion-dollar private credit market. Legacy software firms, loaded with debt from the 2021-2022 era of cheap money, are defaulting at record rates because AI just made their products obsolete faster than anyone predicted. The result: major funds like Blackstone are locking investors in, halting redemptions to prevent a fire sale.
Jamie Dimon called it months ago. After watching subprime auto lender Tricolor Holdings and auto parts supplier First Brands Group collapse in late 2025, the JPMorgan CEO said: "When you see one cockroach, there are probably more." He was right. The cockroaches are everywhere now.
The AI Default Surge
Software and SaaS companies represent roughly 20% of the direct lending market. These firms were darlings of the 2021 private equity boom: predictable revenue, sticky customers, high margins. Lenders piled in. But AI changed the math. Products that took years to build can now be replicated in weeks. Customers are switching to AI-native alternatives. Refinancing has become impossible when your revenue is in freefall and your technology is suddenly yesterday's news.
Default rates in private credit hit 9.2% by the end of 2025, a record. To mask the damage, lenders allowed borrowers to use Payment-In-Kind structures, adding unpaid interest to the loan principal instead of collecting cash. By early 2026, this phantom income accounted for nearly 10% of total investment income at major Business Development Companies. The numbers looked fine on paper. The cash was not there.
The Gates Are Closing
When the Fed held rates higher for longer into 2026, the median interest coverage ratio for private borrowers collapsed to 1.6x. That is barely enough to service existing debt, let alone survive a downturn. Blackstone and Blue Owl Capital, two of the biggest names in the space, are now gating their evergreen funds to stop the bleeding. Retail investors who were told private credit was a stable, high-yield alternative to stocks now cannot get their money out.
The contagion risk is real. Goldman Sachs and Morgan Stanley, which provide NAV loans and subscription lines to these funds, face potential charges as the underlying collateral gets written down. The "shadow banking" sector is no longer in the shadows.
The Bigger Picture
This is what AI disruption actually looks like when it hits the real economy. Not a chatbot writing better emails. Not a coding assistant generating boilerplate. It is a wave of technological obsolescence moving so fast that the financial instruments built on the old world cannot adjust in time. The software companies being disrupted did not fail because they were bad businesses. They failed because the timeline for disruption compressed from decades to quarters.
For the AI industry, this is a cautionary tale wrapped in a validation. Yes, AI is transforming industries at unprecedented speed. But that speed creates collateral damage that extends far beyond the companies being disrupted. When a SaaS firm goes under, its lenders bleed. When the lenders bleed, the banks that backed them take hits. When the banks take hits, credit tightens for everyone.
The AI boom is real. The question nobody is asking loudly enough: who is holding the bag on the companies it is destroying?