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The Credit Default Swaps Market Is Flashing Warning Signs | wolff responds

Mind To Free31:57

Transcription

Friends, thank you for being here today. What if I told you that the financial stability being paraded on the news is built on a foundation of sand that is already washing away? And what if the same alarm bells that rang before the global financial crisis are ringing again right now, but this time they are being ignored.

While the mainstream financial news cycle attempts to reassure the public that everything is stable, a massive divergence has occurred. They are trying to tell you that everything is okay. They point to the stock market which appears to be climbing to all-time highs as proof of economic health. However, beneath this veneer of prosperity, the real economy, the daily reality for the average American has never been worse off. We are currently witnessing a critical disconnect.

On one hand, there is the Magnificent 7, a small cluster of technology stocks driving index performance. On the other hand, we have a deteriorating labor market and a consumer base that is absolutely struggling. But the most alarming signal is not found in the volatility of share prices. It is found in the obscure complex world of credit derivatives. There has been a sudden aggressive surge in credit default swaps. This is the canary in the coal mine. The smart money is no longer betting on a perpetual boom. They are frantically buying insurance against a collapse.

The financial system is flashing warning codes that suggest the massive debts accumulated to build out artificial intelligence infrastructure may be transforming into a systemic risk capable of rivaling the Great Recession. To truly understand the gravity of the current situation, we must first examine the macro signal and the stark disconnect between the markets and reality.

The headlines celebrate record highs in the S&P 500, but this is a mirage fueled by a handful of companies. Stocks like Nvidia are acting as the shovel sellers in a gold rush. They are selling chips to every artificial intelligence company desperate to compete. Historically, during gold rushes, many prospectors went bust, but the shovel sellers made the money. However, even the shovel sellers are at risk if the prospectors run out of cash. Currently, 80% of the stocks on the S&P 500 are actually in the red, a statistic that belies the bullish narrative.

While the stock market rallies on the promise of future technology, the foundational pillars of the United States economy are cracking. The Bureau of Labor Statistics and Alternative Data Providers are issuing reports that suggest the worst October for the jobs market since the year 2003. Furthermore, housing prices are finally starting to fall across the United States, stripping homeowners of the equity effect that often props up consumer spending. Reports from major retailers like Home Depot confirm that the United States consumer is pulling back sharply.

This economic weakness is the backdrop for a much more dangerous phenomenon occurring in the financial plumbing. Bank and financial stocks are sending a warning and threatening to tumble below key support levels. Investors in banks and financial institutions are becoming increasingly worried. The KBW bank index has fallen 4 and 12% over a recent 5-day trading session, badly underperforming the broader market. This weakness is driven by a combination of credit problems and traders trimming bets on interest rate cuts from the Federal Reserve.

If bank stocks fall much more, it raises a significant warning flag. It threatens to take out one of the pillars of the market that bulls hoped would advance through the end of the year. The decline in financial stocks shows that there are cracks in the bullish argument. Investors had assumed interest rate cuts were imminent, but inflation has surged, placing the Federal Reserve in a perilous position. Unlike the dot crash or the crisis of 2008, the Federal Reserve cannot simply drop interest rates and print money without risking hyperinflation. This leaves the credit markets exposed and volatility is returning with a vengeance.

Now let's dig into this specific mechanism signaling this distress which is starting to look like Lehman Brothers on steroids. The mechanism I am referring to is the credit default swap or CDS. For those unacquainted with the terminology, a credit default swap is essentially an insurance policy on debt. An investor buys a swap if they believe a borrower might default on their loans. Conversely, an institution sells a swap if they believe the borrower is on solid footing. When the price of this insurance, the spread spikes, it means the market perceives a drastically higher risk of failure.

We are currently seeing a credit default swap spike where some artificial intelligence firms are now viewed as riskier than the banks were before the crash of 2008. The cost to ensure the debt of major technology giants has more than doubled in just a few months. This is a rare surge, a level of panic not seen since early 2023 when the United States witnessed a series of regional bank failures.

This situation is reminiscent of the collapse of Lehman Brothers in September of 2008. Lehman failed in large part due to its involvement as both an issuer and a buyer of credit default swaps. It almost took down AIG which was a massive seller of these swaps. Today we are seeing a scenario that plays out with even higher stakes.

The buyers of this protection today include data center operators, chip infrastructure companies, and high lever private credit borrowers. They are terrified that the revenue streams promised by the artificial intelligence revolution will not materialize fast enough to service the debt. On the other side of the trade, we see entities like the London Whale. Reports indicate that Boaz Weinstein's Saba Capital Management is selling credit derivatives to lenders who are seeking protection on big tech names like Oracle and Microsoft. These banks are seeking to shield their exposure to potential losses from a debt financed artificial intelligence investment frenzy.

The danger here lies in the mechanics of failure. How do these swaps blow up? There are three primary failure modes. First, the seller of the swap cannot pay. This is the most common failure. The insurer sells too much protection, gets greedy, and does not hold enough capital to cover the losses when defaults actually occur. In this scenario, the insurance becomes worthless because the insurance company is insolvent.

Second, there is the issue of collateral calls. As the credit of the borrower worsens and the spreads on the swaps widen, the sellers must post collateral, usually cash, to prove they can cover the risk. If a seller like Lehman Brothers or a modern hedge fund has to post cash they do not have, it triggers a liquidity death spiral. They are forced to sell other assets to raise cash, driving down prices across the board.

Third, and perhaps most insidious, is counterparty risk. A credit default swap is only as safe as the counterparty selling it. If the counterparty defaults, the hedge disappears. The bank or lender still takes the underlying loss on the bad loan, but now they have no insurance payout to cushion the blow. The balance sheet gets hit twice. This counterparty cascade risk is what threatened to destroy the global financial system in 2008. And the ingredients for a repeat disaster are currently being mixed in the artificial intelligence debt markets.

If you want to see this crisis in action at ground zero, we need only look at Oracle and the titans of AI. Oracle is considered one of the 10 largest growth oriented companies in the S&P 500 alongside names like Nvidia, Microsoft, and Amazon. However, Oracle serves as the perfect case study for how quickly sentiment can shift from euphoria to dread.

In September, just 60 days prior to the current turmoil, the narrative was overwhelmingly positive. Oracle shares surged the most they had since the year 1992. The company gave an aggressive outlook for its cloud business, cementing its place in the race to support demand for artificial intelligence computing. Bloomberg reported that Oracle signed a deal with Open AI to supply 4.5 gawatts of data center capacity, enough energy to power millions of American homes. The remaining performance obligations, a measure of bookings, hit 455 billion.

However, fast forward just two months to November and the picture has darkened considerably. In that span of 60 days, Oracle's stock price dropped 32%. This equates to roughly $289 billion of lost value. Why the sea change? The bond market woke up. Oracle debt derivatives jumped as traders rushed to hedge. The cost of protecting Oracle's corporate debt against default rose by the most since the year 2021. The spread on its 5-year credit default swaps jumped to over 106 basis points, the highest level since November of 2022.

Investors are worried that Oracle's rising leverage may push its credit ratings over the cliff to junk status. The numbers are staggering. Analysts warned that the company's net adjusted debt could hit $290 billion by the year 2028, up from around $100 billion currently. This massive accumulation of debt is being used to fund infrastructure that is incredibly expensive. Hyperscale data centers, servers, and cloud platforms require massive upfront investments and the returns take years to materialize.

This brings us to the issue of circular financing, a dangerous game being played by the hyperscalers. A company like Nvidia might invest in an artificial intelligence startup. That startup then uses the investment capital to buy chips from Nvidia. Revenue is recorded. Growth looks exponential, but the underlying cash flow is derived from debt and venture capital, not organic consumer demand. We are seeing structured financing, off-balance sheet deals, and complex lending arrangements become increasingly common.

This structure has drawn the attention of skeptical heavyweights in the financial world. Michael Hartnett of Bank of America has stated that being short hyperscaler bonds is a top trade for the year 2026. He notes that their spreads have widened while cash flow has become insufficient to finance the buildout. In September and October alone, debt issuance from just three firms was larger than the preceding three years combined for big tech issuance.

Furthermore, Michael Burray, the man famous for predicting the 2008 housing crash, has weighed in. He points out that the useful shelf life of these artificial intelligence chips is very short. The depreciation trap is real. Companies are borrowing billions to buy hardware that may be obsolete in two years. Yet, the debt will remain on the books for decades. If revenue growth slows or if costs rise, debt repayment becomes mathematically impossible. This is why credit default swaps are moving higher. Investors want protection while staying in the market. But as history shows, when the dam breaks, that protection is often illusory.

The concept of the Stargate project further illustrates the scale of this gamble. Oracle alongside Open AI and SoftBank is spearheading a project to rapidly invest $500 billion to build artificial intelligence infrastructure. A club of about 20 banks is supplying roughly $18 billion just to finance the initial phases. But if the tenant oracle cannot generate the massive cash flow required to pay the lease obligations, the entire structure collapses.

Now you might be asking yourself if we have seen this movie before and the historical parallel to the 2008 crisis is undeniable. The parallels to the great financial crisis are not merely qualitative. They are quantitatively chilling. Jeff Gundlock recently noted that the volume of garbage loans in the private credit market currently stands at 1.17 trillion. When one asks what the approximate debt load tied to subprime mortgages was at the end of the year 2006, the answer is exactly the same. $1.17 trillion. We are witnessing a repetition of history.

In 2008, the systemic risk was concentrated in housing. Banks and financial institutions were highly leveraged and derivatives like credit default swaps played a central role in the collapse. Lehman Brothers failed because the market lost confidence in the value of the underlying assets, the homes. Today, the underlying asset is artificial intelligence infrastructure. The market is pricing these assets for perfection. Valuations assume that the demand for AI will grow exponentially and indefinitely. However, we are already seeing power constraints delay projects. We are seeing a lack of tangible revenue models for many of the startups consuming this compute power.

Just as Lehman thought they were hedging their mortgage risk using swaps issued by AIG, today's lenders think they are hedging their AI risk using swaps issued by hedge funds and other financial entities. In 2008, when AIG started to blow up, the Lehman hedges became worthless. If the AI bubble bursts, the exact same dynamic will play out. The insurance will fail precisely when it is needed most.

The AI sector is no longer just a technology story. It is a financial story. It represents a systemic risk to the entire financial system. United States investment grade borrowing from AI focused tech firms reached $75 billion in just September and October, more than double historical averages. This adds a massive layer of leverage to a system that is already fragile.

However, to fully appreciate why this leverage is a ticking time bomb, we must shine a light on the shadow banking system, a massive unregulated black hole that has swallowed the risk the banks were forced to reject. This is the critical difference between the crisis of 2008 and the crisis unfolding before our eyes today.

After the great recession, regulators enacted the DoddFrank Act and other stringent measures to force public banks to derisk. They told the big banks, "You cannot hold these toxic assets anymore." But ladies and gentlemen, risk is never destroyed. It is merely transferred. That risk migrated from the regulated, illuminated world of public banking into the opaque, unregulated world of private credit and shadow banking. This sector has exploded in size, growing from a niche market to a behemoth estimated at over $1.7 trillion, a figure that ominously eclipses the subprime mortgage market of 2008.

But here is the terrifying part. Unlike the stock market or public bonds which are priced every second of every trading day, private credit assets are often priced by the very managers who own them. This is what industry insiders call volatility laundering. In the public markets, if a company struggles, its stock price crashes immediately. Everyone sees the red ink. In the private credit world, the managers can use what is called mark to model accounting. They essentially say according to our internal models, this loan is still worth 100 cents on the dollar even if the borrower is drowning in debt. This creates a valuation mirage, a false sense of stability and low volatility that lures in pension funds and insurance companies desperate for yield. They think they are buying a safe, stable asset when in reality they are buying a dormant volcano.

This connects directly to the artificial intelligence debt bubble. Traditional banks bound by strict regulations have been hesitant to lend billions to unprofitable AI startups with no physical collateral other than rapidly depreciating chips. So who stepped in? The shadow banks. Private credit firms have been aggressively financing the AI buildout, chasing higher yields to justify their fees. They are lending against future revenue projections that are optimistic at best and delusional at worst.

The danger arises when the liquidity crunch hits. In a public market panic, you can sell your stocks. You might take a loss, but you can get your cash. In the private credit world, there is no daily liquidity. When investors start getting nervous and try to pull their money out, these funds do not sell assets. They simply lock the doors. This is known as gating. We have already seen major players like Blackstone and Blue Owl restrict withdrawals in their real estate and credit funds when redemption requests hit a certain limit.

Imagine a scenario where the AI hype cools and a few major startups default. The private credit funds holding that debt will not mark it down immediately, but eventually the cash flow stops. Investors sensing the rot will rush to the exits only to find the gates barred. They will be trapped in illlquid investments that are suddenly being repriced from perfect to worthless. And here is the final nail in the coffin, the regulatory blind spot.

The Federal Reserve and the government are fighting the last war. They are obsessed with inflation and the solvency of the systemically important banks like JP Morgan and Bank of America. They have very few tools to bail out a private credit collapse. In 2008, they could inject capital into the banks to save the system. But they cannot easily inject capital into thousands of opaque offshore private investment vehicles without rewriting the laws of capitalism or triggering hyperinflation. So, we have a shadow banking system that is holding the bag for the riskiest AI debt, valuing these assets using mark to make believe accounting and ready to lock investors money up at the first sign of trouble. This is the invisible avalanche. It is not happening on the tickers of CNBC. It is happening in the quarterly reports of private funds that you will never see until it is too late.

It is also important to remember that this credit drama is not happening in a vacuum. It is unfolding against a backdrop of confirming economic indicators. This debt burden will be even harder to service because the soft landing narrative is being contradicted by hard data.

First, let us look at the labor market. The Bureau of Labor Statistics failed to release the October jobs report citing a lapse in appropriations due to government shutdown issues. However, alternative data suggests a more sinister reason for the silence. The numbers are catastrophic. According to challenger data, United Statesbased employers cut more than 150,000 jobs in October. This marks the biggest reduction for the month in more than 20 years. Layoffs in October surged 175% from a year ago. Crucially, the tech firms, the very ones driving the stock market, led the job cuts. This was followed by retailers and the services sector. The top reason cited for these layoffs was cost cutting followed by artificial intelligence. Verizon alone announced it is going to cut 15,000 jobs. This is not the behavior of an economy in a golden age. It is the behavior of an economy bracing for impact.

Second, the housing market is flashing recessionary signals. According to Zillow data, more than half of United States homes, approximately 53% have lost value over the last year. This is up from 14% a year ago. A share this big has not been seen since the tail end of the Great Recession around the year 2012. Most homes have lost value from their peak, falling 9.7% on average. This erodess the wealth effect. When homeowners feel poorer, they spend less.

This brings us to the third pillar, the retail consumer. Home Depot, a bellweather for the main street economy, gave an alarming sales update. For the third consecutive quarter, the company missed profit expectations. They reported serving 1.4% fewer customers and seeing a 0.4% drop in foot traffic. Their management noted that their customers are homeowners who are seeing home prices decline and have significant job concerns. This reveals that the state of the average United States consumer is absolutely struggling.

If the consumer cannot spend, the companies cannot generate revenue. If the companies cannot generate revenue, they cannot service the massive piles of debt they have accumulated to build data centers. If they cannot service the debt, they default. And if they default, the sellers of credit default swaps face a tsunami of claims they cannot pay.

Ultimately, this all leads to one terrifying conclusion. We are standing on the precipice of a liquidity death spiral. The sequence of events is becoming clear. Bond investors sensing the weakness in the real economy and the overlever in the tech sector are beginning to panic. They are demanding higher yields to hold this risky debt which drives down the price of existing bonds. To protect themselves, they rush to buy credit default swaps. This surge in demand for insurance causes the CDS spreads to widen. As spreads widen, it triggers collateral calls for the sellers of the swaps. These sellers must drain liquidity from other parts of the market to meet these calls. Meanwhile, the companies themselves, the oracles and the hyperscalers face higher borrowing costs just as their cash flow comes under pressure.

The four simple steps to protect oneself in this environment are clear. First, eliminate all highinterest debt. Second, build an emergency fund or dry powder fund to deploy when assets sell for pennies on the dollar. Third, focus relentlessly on increasing income as cost cutting alone will not suffice. And fourth, consider insurance against the financial system itself, such as gold, which tends to outperform during crisis and protects against the devaluation of the dollar. The signs are simply too big to ignore.

Now, the credit markets are screaming what the stock market is trying to hide. The leverage is too high. The growth is too uncertain. and the insurance is likely insolvent. We are walking a very thin line, a delicate balance between growth and financial stability. As the credit default swap surge, they are telling us that the titans may be preparing to fall and the impact will be felt by every single participant in the economy.