Artificial intelligence has already shaken up the stock market. Now, a top analyst at UBS says the next impact could hit somewhere far less visible — but potentially far more dangerous.
According to Matthew Mish, head of credit strategy at UBS, the rapid rise of AI could trigger tens of billions of dollars in loan defaults across the leveraged loan and private credit markets.
And the numbers are not small.
Mish estimates that between $75 billion and $120 billion in fresh defaults could emerge by the end of this year.
Why Credit Markets Could Be the Next AI Casualty
While stock investors have been quick to punish companies seen as “AI losers,” credit markets have so far remained relatively calm.
That could soon change.
The leveraged loan and private credit markets together total roughly $3.5 trillion. These markets finance heavily indebted companies, many of them owned by private equity firms. A large portion of these businesses operate in software, data services, and technology sectors — areas now facing intense pressure from AI-driven disruption.
According to Mish, AI transformation is happening faster than expected. That speed is creating stress for companies whose business models are being reshaped almost overnight.
What’s Driving the Default Risk?
1. AI Is Replacing Traditional Software Models
Many companies built around legacy software systems are now facing competition from AI-native platforms. Tools powered by machine learning and automation are reducing demand for older services.
Businesses that fail to adapt quickly could see revenue shrink — and heavily leveraged firms may struggle to service their debt.
2. Private Equity Exposure
A significant number of companies in the leveraged loan and private credit markets are backed by private equity. These firms often carry high debt loads as part of buyout structures.
If earnings drop because of AI competition, these companies may not have enough financial cushion to absorb the shock.
3. Tight Financial Conditions
Borrowing costs remain elevated compared to the ultra-low interest rate era. Refinancing debt has become more expensive, and investors are increasingly cautious.
If AI accelerates revenue declines, refinancing risk could turn into outright defaults.
Why This Matters Beyond Wall Street
Credit markets do not get as much attention as the stock market, but they play a critical role in the economy.
Leveraged loans and private credit fund:
- Mid-sized technology firms
- Data service providers
- Healthcare companies
- Industrial businesses
- Consumer services companies
A wave of defaults in this space could tighten lending conditions further, making it harder for companies to access capital.
In extreme cases, stress in credit markets can spill into broader financial instability.
The Market Has Seen This Before
Disruption-driven defaults are not new. The dot-com bust wiped out heavily indebted tech firms that could not survive rapid industry change. The financial crisis exposed overleveraged housing-related businesses.
What makes this moment different, according to Mish, is the speed of transformation.
AI adoption is not gradual. It is accelerating quickly across industries. Companies that once had years to adjust to new technologies may now have only months.
Stocks Reacted First — Credit May React Next
Equity investors have already started pricing in AI winners and losers. Some traditional software stocks have been hit hard as investors shift capital toward AI-focused firms.
But credit investors often react later. Loan markets can appear stable — until earnings declines make debt burdens unsustainable.
Mish suggests that default risk may become visible in the next year as financial results begin reflecting AI-related disruption.
How Big Could the Damage Be?
The projected $75 billion to $120 billion in potential defaults would represent a significant spike.
While not large enough on its own to trigger a systemic financial crisis, it could:
- Increase volatility in high-yield debt markets
- Pressure private equity valuations
- Tighten lending standards
- Reduce deal-making activity
For investors, it may signal a shift from chasing growth stories to reassessing credit risk fundamentals.
Is This a Warning or a Forecast?
It’s important to note that this is not a guaranteed outcome. It’s a risk scenario based on current trends.
Some companies will successfully integrate AI and improve margins. Others may pivot their business models before debt becomes unmanageable.
But the warning highlights a broader theme: AI is not just reshaping tech stocks. It is reshaping financial risk across the system.
The Bottom Line
Artificial intelligence has already redrawn the map of the stock market. Now, analysts at UBS are warning that the next disruption may hit the $3.5 trillion leveraged loan and private credit markets.
If AI transformation continues at its current pace, tens of billions of dollars in corporate loans could default within a year.
For investors and financial institutions, the message is clear: the AI boom is not only creating winners — it may also expose weaknesses in the debt-heavy corners of the economy.
