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Junk Bond Market Starts to Crack, in Further Sign AI End Game is Nearing


Despite continuing US threat display, particularly moving yet more refueling tankers to the Middle East, Trump as we suggested is engaged in yet another mini TACO by saying he would continue to negotiate, when despite Qatar and Pakistani mediator happy talk,1 Iran has not budged an inch. In fact, Supreme Leader Khamenei met for the first time with military leaders and told them to expand the target list geographically. Stanislav Kravpvnik in a new talk with Nima observed that that means US aircraft carriers, Diego Garcia, the UK base in Cyprus and even Turkiye airbases are now on the menu.

But Mr. Market has reverted to its optimistic form, with oil prices falling and stock prices perking up. As you can see from Bloomberg’s landing page, investors are taking cheer despite Gulf State fears and Goldman warnings:

Of course, the latest Trump negotiation ploy may be US deception or market-goosing right before the midterms, or Trump seeking to buy a little time for the Israel leadership to sort itself out. But Trump has repeatedly walked right up to the edge of starting attacks and pulled back, including in September, mere hours before a “go live” time for Ansar Allah strikes. It’s called TACO for a reason.

However, Tucker Carlson’s contacts are passing on alarming reports that Trump is considering a nuclear strike on Pickaxe Mountain and is set to decide by November 7:

So we’ll use this pause to look at the pace of deterioration in AI funding. It’s hard to know how long this Wile E. Coyote phase, of it being widely acknowledge that AI investment will never pay off in financial terms, yet asset price levels remaining lofty even factoring in the recent corrections. There was a ton more conviction in the dot-com era, with tons of people who should have known better accepting eyeballs as a valuation metric. A hard end seems baked in for 2027 and 2028 at the very outside, given subprime-like “take or pay” provisions. See Groundbreaker in The Teaser Period: Why the AI Boom Is Hitting a Reset Wall for the gory details.

Let’s first turn to the fact that the US economy is not as robust at the 3Q initial release of 3.4% growth would have you believe. First, the GDP deflator was lowered to 2.2% from 6.1% in 2Q. The consensus expectation for that input was 3.2% so this looks sus. Inventory build was about 1.6% of the 3.4% total, so unless end demand picks up, this will wind up reducing sales in future quarters. And that’s before getting to the fact that unsustainable AI capex spend is a major driver of this groaf.

Now to a worsening cause for pause: the accelerating decay in the junk bond market. This matters because investment cycles grind to an end first with borrowings becoming more expensive and harder to get. That process starts with the weakest debtors and works its way up to better credits. Prototypically, stock market declines start about 5 months after interest rate rises, but with big variation in timing.

So the Financial Times story about the very weakest junk bonds crashing is on script, save perhaps for the degree of panic. And the trajectory matters ginormously for AI, since the sector’s insatiable demands mean that even the once-huge cash reserves of tech titans are inadequate to fund the intended buildout, and they must borrow to keep plowing ahead.

A Washington Post headline last week put it bluntly: There’s not enough money in the world to pay for the AI boom. From the body of the article:

Technology companies recently launched a record scramble for cash to pay for data centers, computer chips, and technology and equipment to power artificial intelligence. This boom is so expensive that even Silicon Valley giants are bleeding cash, and companies are now racing one another to collect or borrow other people’s money for the estimated $10 trillion of AI-related spending in coming years.

Three eye-popping figures that emerged on Monday showed the scale of the AI cash grab.

Anthropic, maker of the Claude chatbot, started the clock on what is expected to be the largest initial public offering in history, raking in an estimated $100 billion in stock sales. But the company’s IPO paperwork warned that will just be the down payment necessary to fund the company’s AI ambitions….

The same day, Meta said it would sell up to $95 billion in new stock after disclosing a few days ago that it was struggling to compete with other AI developers asking investors for cash. And less than five months after Elon Musk’s SpaceX held what stands as the current record largest IPO, the AI and rocket company finalized a complex deal to borrow $40 billion to pay for AI computer chips and equipment….

In a widely cited draft research paper last month, Columbia University finance professor Stijn Van Nieuwerburgh estimated that it will cost more than $10 trillion through 2032 to build out AI, including data centers and computer equipment.

Measured as a slice of U.S. economic output, the average yearly AI spending works out to more than the combined national commitments for electrifying American households in the early 20th century, building the interstate highway system, and installing the backbone of the 1990s U.S. dot-com boom, he estimated….

Investors are starting to get picky about which AI companies they’re willing to bankroll. Stock and bond prices have been on a roller coaster in recent weeks, particularly for a class of smaller firms that earn money from renting AI data center computing power to leading AI companies. Investors have balked at IPOs for several of these young but fast-growing data center companies, dubbed neoclouds, or demanded higher interest rates to lend them money.

Like many AI companies, many neoclouds cannot fund their operations without taking on debt or other outside cash…

Market research firm Gartner recently….predicted that 80 percent of neocloud companies could fail or be forced to sell themselves in coming years….

The U.S. economy and financial future of every American — whether they intended to wager on AI or not — are increasingly linked to this giant bet. Companies large and small in the AI industry, on Wall Street, and those leasing office space or selling paint are all becoming dependent on AI spending and the premise behind it: that AI will profoundly reshape work, the U.S. economy and American life in a way that delivers geysers of economic growth, corporate profits and wealth for decades to come.

Paging Ed Zitron.

Now to the Financial Times on junk bond market distress, in Junk debt rout sparks ‘bloodbath’ for credit investors. Mind you, the piece does not directly implicate AI. But Anthropic is rated junk:

…and market maven Jeff Gundlach discussed long from how many big AI bettors like Oracle and SpaceX are trading at junk bond prices. Keep in mind that rating agencies are loath to downgrade, and tend to do so only after Mr. Market has priced the downgrade in.



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