AI Fever on Wall Street: The Market is Drowning the Industry in Billions in Debt

Wall Street has finally stopped pretending that high interest rates scare it. When dominance in artificial intelligence is at stake, the cost of money takes a back seat. This February, the financial world is preparing for a real debt binge. Corporations have lined up to issue bonds in record amounts, and almost every single deal is driven by the same two-letter acronym. Investors are literally drowning companies in money, hoping to jump onto the departing train of technological singularity. But behind this feast of capital lurks a dangerous detail: the market has started ignoring risks that a year ago would have made any banker pale.

The situation resembles a classic scenario where fear of missing out defeats common sense. Companies are borrowing billions not just for current expenses, but for building colossal data centers, purchasing scarce chips, and training models whose appetites are growing exponentially. If AI startups once lived on venture capital money, now the "heavy artillery" has entered the game — public corporations that are hanging debt obligations on their balance sheets. This is no longer just garage experiments, but a full-scale restructuring of the global economy on borrowed funds. February promises to be the most active month in the history of the corporate debt market, and this is happening against warnings that investors have become too reckless.

Recklessness in this context is not merely a lack of caution, but a conscious closing of eyes to the absence of clear payback timelines. We see credit spreads narrowing to minimums, as if the risk of default or technological dead-end equals zero. Analysts from major banks are beginning to cautiously remind us that history is not always kind to those who build debt pyramids on a foundation of expectations. If tomorrow it turns out that generative AI does not deliver the promised trillions in profit within the next three years, servicing these bonds will become extremely difficult. But while the music plays, nobody wants to be the first to leave the dance floor.

Interestingly, this boom is happening at a moment when the U.S. Federal Reserve is in no hurry to lower rates. You'd think borrowing now is expensive. But the logic of corporations is simple: missing the deadline for AI implementation will cost more than paying 5-6% annually on bonds. This creates a unique situation where technological progress essentially forces the financial market into anomalous activity. We are witnessing the formation of a new reality where a company's ability to borrow billions for neural network development becomes the main indicator of its viability in shareholders' eyes. However, one must remember that any debt binge eventually ends with a hangover, especially if the "future" project gets delayed on the way.

Key point: The bond market has turned into a giant ATM for the AI race, and the question is only whether technologies will earn enough to repay these debts before creditors run out of patience.