AI’s Loan Default Threat Hammers Asset Managers as Software Firms Face Tech Disruption
Asset managers are getting crushed. The fear? Artificial intelligence isn't just automating tasks—it's poised to automate software firms straight into default.
The Automation Avalanche
Forget simple efficiency gains. The next wave of AI isn't about trimming fat; it's about rewriting the entire business model for legacy software providers. When your core product can be replicated or bypassed by a well-prompted large language model, revenue streams don't just shrink—they evaporate. That evaporation leaves balance sheets gasping for air and loan covenants looking like wishful thinking.
Portfolios on the Precipice
Funds loaded with tech debt are staring into the abyss. The traditional metrics—user growth, recurring revenue—are becoming historical artifacts, not future guarantees. A company's entire market can be disintermediated before the board even schedules an emergency meeting. It's the ultimate disruptive irony: the very sector that sold 'digital transformation' is now facing its own existential transformation, funded by other people's money.
The New Risk Calculus
Credit analysts are scrambling. How do you underwrite a loan when the borrower's intellectual property could be rendered obsolete by a GitHub repository update? The old models assumed competition came from other companies. Now, it comes from a subscription-based API. Due diligence now requires a side gig in prompt engineering and a healthy dose of paranoia.
It's a brutal reminder that in finance, you're often just one technological breakthrough away from your 'safe' bet turning into a vintage collectible—right up there with subprime mortgage CDOs. The machines aren't coming for the jobs; they're coming for the credit rating.
UBS warns of 13% default rate in stress scenario
UBS says if AI adoption speeds up faster than borrowers can adapt, U.S. private credit defaults could hit 13%. That compares to 8% for Leveraged loans and 4% for high-yield bonds in a stress scenario.
AI companies are moving into the application layer, where software firms make their money. It threatens the per-seat pricing that built Salesforce and Bloomberg. Think Amazon starting with books, then taking over retail, cloud, and logistics.
“The selling pressure reflects a deepening structural debate,” Jonathan McMullan from Schroders told Reuters. “The speed of AI advancement makes long-term valuations harder to defend, particularly as AI tools allow businesses to do more with fewer staff.”
Vista Equity Partners built an “agentic factory” last summer to add AI to portfolio companies.
Bankruptcies rise as ‘cockroaches’ warning echoes
Tech and business-services bankruptcies are rising. JPMorgan’s Jamie Dimon warned about private credit’s “cockroaches” late last year. One borrower problem usually means more lurking.
Not everyone’s panicking. JPMorgan’s Mark Murphy called it “an illogical leap” to think companies will replace entire enterprise systems with custom software. Quilter Cheviot’s Ben Barringer pointed to security and data concerns, saying “we are not yet at the point where AI agents will destroy software companies.”
Still, analysts think private credit defaults could climb 2 percentage points this year to 6%. Software is 25-35% of portfolios in listed BDCs. Admin, analytics, and back-office software face the most risk because switching costs are low.
These loans were made when software looked SAFE with recurring revenue and solid margins. That bet is looking worse by the day.
Don’t just read crypto news. Understand it. Subscribe to our newsletter. It's free.
