⏱ 3 min read
He says an 80% correlation broke as oil rose and yields fell, and in disinflation the hedge was at the long end of the curve.
The link between oil and treasury yields snapped in October, according to Jeffrey Rosenberg, senior portfolio manager for BlackRock’s Systematic Alternatives ETF. He said a yearlong relationship broke as oil futures rose while Treasury yields fell, a shift he links to an AI-led pullback rather than geopolitics.
Break in oil–yield link tied to AI pullback
“Oil and treasury yields had this amazing correlation and in October it just stopped,” Rosenberg said. He argued the month showed a new hierarchy of risks: “In the market’s mind, the geopolitical risk is secondary to AI risk.” The report says the month featured a Nasdaq “wipeout” and Google’s biggest single-day decline on record, erasing about half a trillion dollars in value. Rosenberg’s reading is that the market treated AI weakness as broader U.S. growth weakness, pulling yields lower.
He also pointed to Q3 data to explain why AI now drives the macro narrative. The report cites business investment up 12.7% in Q3, led by a 37% jump in information processing equipment and nearly 25% in industrial equipment. Set against overall business investment, 37% against 12.7% is roughly 2.9 times, which is consistent with Rosenberg’s claim that the quarter’s strength was AI-heavy.
Federal Reserve Chair Kevin Warsh, by contrast, said at the FOMC press conference that strength is broadening beyond any narrow tech pocket, according to the report. That tension leaves bonds in a new role only in specific conditions, Rosenberg said: when an AI wobble is read as disinflationary, “the long end of the treasury curve” hedged in October. He cautioned this is not a return to the old “bonds hedge stocks” norm, with oil and above-target inflation still challenging fixed income.
Hyperscalers turn to public debt
Rosenberg said the AI buildout is increasingly visible in credit. The report notes Microsoft returned to the public bond market after close to a decade, and he expects more hyperscaler issuance as capex outstrips free cash flow and the limits of bank loans and private credit. He said a $40 trillion to $60 trillion global bond market can absorb an expected $4 trillion in AI-related debt over four years, but “the market is not unlimited in capacity.”
More issuance in public markets also means more tradable signals. The report cites Microsoft credit default swaps near a five-year high, roughly 55, versus Oracle closer to 300. On those figures, Oracle protection trades at about 5.5 times Microsoft’s. Rosenberg framed that dispersion as another way to position around the AI cycle without buying bonds outright.
Rosenberg said the lesson from October is conditional: bonds diversified when AI stumbled, but he warned against treating it as a one-way trade. If the AI boom persists alongside fiscal pressures, he said, bonds will be “challenged.”
Source: CNBC.
This article was written with AI assistance and reviewed by an editor.
This content is for informational purposes only and does not constitute financial advice.
🧠 HafidWatch Take
The simultaneous rise in hyperscaler bond issuance and falling yields in October suggests that investor appetite for AI-related debt remained strong despite equity setbacks. Credit default swap spreads, especially the large gap between Microsoft and Oracle, provide a nuanced signal of market sentiment that could help clarify whether supply or demand drove yields. Monitoring these tradable indicators alongside issuance volumes will be key to understanding how the bond market balances the pressures of expanding AI investment and broader fiscal constraints.
Daily crypto intelligence. Before the market opens.
Including the Divergence Index — the sentiment gap no other newsletter tracks. Free, every morning at 7:30am ET.
✓ Free forever · ✓ No spam · ✓ 50+ sources monitored
