The AI Gold Rush and the Shadow of Private Credit: A Bubble Waiting to Burst?
There’s something almost poetic about the way the AI boom has captured the world’s imagination. It’s the modern-day gold rush, with companies and investors alike scrambling to stake their claim in the digital frontier. But what happens when the tools funding this revolution—private credit, in this case—start to look more like a ticking time bomb than a golden ticket? That’s the question the Financial Stability Board (FSB) is asking, and it’s one that should keep us all up at night.
The AI Boom’s Unlikely Financiers
What’s striking is how private credit has become the unsung hero—or perhaps the silent villain—of the AI revolution. In 2025, AI firms accounted for over a third of private credit deals, a staggering leap from just 17% in the previous five years. Personally, I think this shift is both fascinating and deeply concerning. On the one hand, it’s a testament to the innovation and ambition driving the AI sector. On the other, it’s a red flag waving in the wind.
What many people don’t realize is that private credit operates in the shadows of traditional banking. It’s less regulated, more opaque, and often caters to borrowers with lower credit scores and higher debt levels. This isn’t inherently bad—it can democratize access to capital—but it’s a recipe for disaster when combined with the hype-driven nature of the AI industry. If you take a step back and think about it, we’re essentially building the future of technology on a foundation of risky loans.
The Achilles’ Heel: Datacenters and Electricity
One thing that immediately stands out in the FSB’s report is the vulnerability of AI projects to a single, seemingly mundane factor: electricity. Datacenters, the backbone of AI infrastructure, are power-hungry beasts. A significant shortfall in electricity supply could derail entire projects, leading to delays, cancellations, and, ultimately, credit losses for private lenders.
From my perspective, this is where the AI boom’s fragility becomes most apparent. We’re so focused on the potential of AI to transform industries that we’ve overlooked the basic logistics. What this really suggests is that the entire ecosystem is built on assumptions—about energy availability, demand growth, and investor appetite—that may not hold up under scrutiny.
The Oversupply Trap
Another detail that I find especially interesting is the risk of oversupply in datacenters. If investments outpace demand, we could end up with a glut of infrastructure and a corresponding drop in returns. This isn’t just a theoretical concern—it’s happened before in other sectors, from real estate to renewable energy.
What makes this particularly fascinating is how it ties into the psychology of booms. Investors, caught up in the excitement, often lose sight of fundamentals. They assume that demand will keep growing indefinitely, but history tells us that’s rarely the case. This raises a deeper question: Are we repeating the same mistakes that led to past bubbles, or have we learned nothing from them?
The Banking System’s Hidden Exposure
Here’s where the plot thickens: traditional banks, the supposed guardians of financial stability, are increasingly entangled with private credit. They’re lending to private credit funds, financing risky portfolios, and partnering with asset managers on deals. This integration is so deep that the collapse of just two private credit-backed firms, Tricolor and First Brands, sent shockwaves through the banking sector.
In my opinion, this is the most alarming aspect of the FSB’s report. Banks are supposed to be the safe haven of the financial system, but they’re now exposed to an opaque, high-risk sector. What this really suggests is that the lines between regulated and shadow banking are blurring, and that’s a recipe for systemic risk.
The Broader Implications: A Bubble in the Making?
If you take a step back and think about it, the parallels between the private credit-fueled AI boom and past financial bubbles are hard to ignore. The dot-com bubble, the housing crisis—both were driven by excessive optimism, risky lending, and a disconnect from reality. Are we headed for a similar reckoning?
Personally, I think the answer is yes—unless we act now. The FSB’s warning isn’t just about private credit or AI; it’s about the broader culture of speculation and leverage that’s driving our economy. We’re so focused on short-term gains that we’re ignoring the long-term risks.
The Way Forward: Regulation and Realism
So, what’s the solution? In my opinion, it starts with greater transparency and regulation in the private credit sector. We need to ensure that lenders are properly assessing risks and that borrowers aren’t taking on more debt than they can handle. But regulation alone won’t fix the problem.
We also need a dose of realism. The AI boom has the potential to transform society, but it’s not a sure thing. Investors, companies, and policymakers need to temper their enthusiasm with caution. After all, as the saying goes, the higher you climb, the harder you fall.
Final Thoughts
The intersection of private credit and the AI boom is a story of innovation, ambition, and risk. It’s a tale of what happens when the promise of the future collides with the realities of finance. From my perspective, the FSB’s warning is a wake-up call—a reminder that even the most exciting revolutions need a solid foundation.
What this really suggests is that we’re at a crossroads. We can either learn from the mistakes of the past and build a sustainable future, or we can continue down the path of speculation and leverage, risking another crisis. Personally, I know which option I’d choose. The question is: will the rest of the world?
