Via bankingdive.com
The same concentration problem that plagued equity portfolios is now creeping into bond markets, and JPMorgan says investors need to rethink their playbook
Gabriela Santos, Chief Market Strategist for the Americas at JPMorgan Asset Management, warned on August 18 that AI-related concentration risk has quietly metastasized from stock portfolios into fixed income markets. She calls it the “AI-factor” or, more colorfully, the “AI tentacle.”
The tentacle reaches the bond market #
Companies building out AI infrastructure need enormous amounts of capital. They raise that capital by issuing bonds. When enough of them do it at the same time, the investment-grade corporate bond market starts looking a lot like the equity market: dominated by a few massive players chasing the same theme.
Investment-grade corporate bond issuance has hit record levels for four consecutive months, with a meaningful share of that volume tied to AI-related financing needs. Santos specifically pointed to hyperscalers like Alphabet as key drivers of this wave, tapping bond markets to fund data centers, custom silicon, and the sprawling physical infrastructure that AI demands.
What Santos recommends instead #
Santos isn’t suggesting investors abandon the AI trade. She remains bullish on what she describes as the ongoing AI super-cycle. The point isn’t to run from it, but to recognize that portfolio construction needs to account for a risk factor that didn’t exist in its current form a few years ago.
Her prescription: diversify with assets that are genuinely uncorrelated to AI themes. That means Treasuries, gold, and core real estate, all of which should theoretically provide returns that move independently of whether the next earnings call from a hyperscaler beats or misses expectations.
The bigger picture at JPMorgan #
Santos’s warning isn’t an isolated opinion. It reflects broader research efforts within JPMorgan examining how AI is reshaping credit markets. The firm has been studying the growing role of data center and infrastructure debt, along with rising funding requirements across sectors that are being reshaped by artificial intelligence.
When credit spreads in AI-adjacent bonds tighten because of investor enthusiasm, it can mask the underlying credit risk. A company issuing debt to build data centers on the assumption of future AI revenue is making a fundamentally different bet than one refinancing existing operations.
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