The artificial intelligence boom is triggering a record surge in corporate bond issuance and pushing up long-term U.S. Treasury yields [1, 2].
This shift indicates that AI-related financial risk is moving beyond equity markets and into the broader bond market. As technology companies borrow heavily to fund infrastructure, the resulting debt volume affects global borrowing costs.
Global companies issued corporate bonds at a record high during the first half of the year [2]. Technology firms, including Meta Platforms and Oracle, have been among those borrowing to sustain the building boom required for AI capabilities [1, 2].
This wave of borrowing is coinciding with significant volatility in the U.S. Treasury market. The 30-year U.S. Treasury yield recently hit a 19-year high [4]. Some analysts attribute this surge to a combination of the U.S. fiscal deficit and the strain of massive AI-related borrowing [4], while others point to a general bond sell-off [3].
Investors are now monitoring how concentrated these positions have become. The appetite for AI-linked debt has flooded the market, creating a new layer of exposure for bondholders who previously viewed these assets as more stable than stocks [3].
"AI remains the biggest theme in global markets—but investors may be dangerously concentrated," Gabriela Santos said on Bloomberg Television.
“AI-related financial risk is moving beyond equity markets and into the broader bond market.”
The migration of AI risk from stocks to bonds suggests that the cost of the AI revolution is being financed by significant long-term debt. If the expected productivity gains from AI do not materialize quickly enough to cover these borrowing costs, the resulting defaults or downgrades could destabilize the Treasury market and increase borrowing costs for the entire U.S. economy.
