BondCliQ CEO Chris White warns that the AI debt glut may be lifting US government borrowing costs as investors demand higher yields from hyperscaler lenders. According to White, who supplies corporate bond pricing data, many new hyperscaler bonds trade wider within six months of issuance, with the AI debt glut creating broader market implications. "Investors will not be fooled twice," White told CNBC, explaining that institutional buyers are pricing in the history of AI debt performance when hyperscalers return to borrow. The oversupply of AI-linked debt is linked to US Treasury oversupply, citing White House concern about long-term yields and direct bond-buying programs.
Federal Reserve Bank of Chicago President Austan Goolsbee warned that AI investment booms may be fueling aggregate overheating and persistent inflation, marking a significant shift in Fed thinking about technology's economic impact. As reported by Semafor, Goolsbee said inflation is starting to feel like 'aggregate overheating' fueled by spillovers from the artificial intelligence investment boom, rather than largely being a byproduct of supply shocks that will pass on their own. 'This is starting to feel like aggregate overheating, that the AI data center cost increases are jumping out of its lane, that prices are going up in spaces that are not just components in data centers and the directly adjacent industries to data centers,' Goolsbee explained. The Fed President noted that if you start to see more of this spreading into general services, that investment goods are just getting GDP growth up faster than potential and generating this kind of spillover inflation, that's problematic because unlike supply shocks, overheating demand takes a long time to correct once it begins.
S&P Global Chief Economist Paul Grunwald confirms that the AI revolution is driving global growth through massive capital expenditure, with hyperscaler debt issuance reaching $800 billion this year and projected to exceed $1 trillion annually in the near future. According to Grunwald, speaking to The Times of India, 'We're on the steepest part of the gradient of the path and it's going to keep rising to well over $1 trillion per year and then stay there for a while.' This represents a fundamental shift where 'the private sector is crowding out govt' - a reversal from traditional government-driven investment cycles. The AI boom is creating what Grunwald describes as 'a big positive demand shock that pushes up output and prices' - one of the largest investment waves in modern economic history.
Bond investors are showing skepticism toward AI debt performance, with many new hyperscaler bonds trading wider within six months of issuance, according to BondCliQ's Chris White. White pointed to CoreWeave, an AI cloud computing provider, and Oracle as cases where bond buyers doubt the long-term story. CoreWeave, at about 5% of the $258 billion in AI-linked debt sold over the past year, must refinance within five to seven years, leaving it exposed to higher short-term rates. In contrast, Oracle's debt runs for decades, so rate rises pose less refinancing pressure. White noted that Microsoft is the only hyperscaler with a top AAA credit rating, and its bond pricing sets the benchmark for peers, with rivals expected to match sweeter terms if Microsoft offers them.
According to Morgan Stanley's analysis, US and European stock markets posted double-digit gains this year, while credit spreads remained near multi-decade lows. However, Sheets noted that these indicators do not capture the pressure building in weaker parts of the market. Spreads on triple-C-rated debt had widened significantly this year in both the US and Europe, among the lowest-rated categories of corporate credit. Publicly traded business development companies also traded at widening discounts to their book value. The S&P 500 Index fell 0.5% in September, with equal-weighted returns declining by 5%, while the global high-yield bond index fell sharply during the same period.
Morgan Stanley's latest research highlights growing concentration risks in AI and semiconductor markets. The median forward P/E for core AI and semiconductor stocks is approximately 32x, down from about 38x three months ago, though this level remains above the ten-year average of roughly 19x. The report notes that AI and semiconductor-related stocks remain supported by expanding capital expenditures and upward earnings revisions, but rising interest rates and elevated valuations pose challenges to the sustainability of the rally. Supply-side pressures are accumulating, with IPOs, new issuances, and secondary offerings potentially diverting investment capital and straining stock supply and demand.
As reported by CNBC TV18, Goolsbee, who does not have a vote on rate policy this year, indicated that if inflation remains persistent, then the Fed has to act decisively to prevent overheating from rolling into inflation expectations. The Fed raised rates for the first time in three years last month, bumping its short-term policy rate up by a quarter percentage point to a range of 3.75%-4.00%. Rate futures markets expect the Fed will forego another increase at the coming October 27-28 meeting but will lift rates by another quarter point in December. According to Grunwald, 'we are in a higher interest rate world in terms of the inflation shock right now' as crude prices jumped to $120 and are now back to around $100, with elevated diesel, gasoline and jet fuel prices creating upstream price pressures that are leaking into consumer and firm margins. Morgan Stanley maintains that concentration risks are building and that reducing concentration and increasing allocations to low-volatility and financially sound value stocks form the core of the current strategy.
