Nasdaq Futures Drop Over 1% as AI Sector Selloff Compounds Debt Concerns
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Nasdaq 100 futures fell over 1.3% in early trading after a hotter-than-expected CPI print fueled rate-hike bets, hammering debt-heavy tech firms building AI infrastructure — chip and data-center stocks shed roughly $80 billion in market cap in a single session.
What triggered this sell-off?
The catalyst: September U.S. CPI came in above expectations, pushing the market-implied probability of a rate hike this month from 20% to 27% and the odds of a 25-bp December hike to 67%.
This means → rates may stay higher for longer than markets had priced in, driving up borrowing costs for companies that rely on debt to fund expansion.
As of 4:04 a.m. ET, Nasdaq 100 futures were down 1.26%, S&P 500 futures down 0.35%, while Dow futures bucked the trend at +0.39% — a clear rotation out of high-valuation tech into traditional blue chips.
Why is CoreWeave at the center of the storm?
CoreWeave — a data-center operator that borrows heavily to buy GPUs and lease capacity to AI clients — plunged 15% on Wednesday and dropped another 4.5% pre-market Thursday; its bond yields hit record highs.
In plain terms = its business model is borrow, buy GPUs, build, lease. When rates rise, both interest costs and refinancing difficulty spike — so the market punished it first.
Oracle fell nearly 9% Wednesday and another 2% pre-market, with its bonds also under pressure. Both companies embody the same risk profile: high leverage + dependence on AI capex.
Why are chip stocks falling too?
Nvidia slipped 1.3% pre-market, Micron dropped 4%, and AMD fell 1.9%. In Asia the damage was sharper — South Korea's KOSPI tumbled over 7% in a single day; Japan's market fell nearly 5%.
TSMC reported a sixth consecutive quarter of record profit on Thursday, yet issued a cautious outlook for 2027, citing macro uncertainty — further weighing on sentiment.
This means → even the world's largest foundry, posting strong current results, is signaling that if AI capex slows due to rising financing costs, its forward order book could take a hit.
How does an AI capex slowdown ripple through the broader economy?
Jefferies economist Mohit Kumar warned: "A slowdown in AI infrastructure spending would mean a significant downward revision to U.S. growth expectations."
Columbia Business School professor Stijn Van Nieuwerburgh has estimated cumulative AI infrastructure investment could reach $10.3 trillion by 2032 — equivalent to 3.6% of annual U.S. GDP over the next seven years.
In plain terms = AI is not just a tech-sector story — the spending is large enough to move the trajectory of the entire U.S. economy. Rising rates put a question mark over whether that investment can actually materialize.
What is the market watching next?
Thursday brings September PPI, retail sales, initial jobless claims, and several business surveys — all feeding into the Fed's next decision.
Deutsche Bank noted that companies with heavy AI exposure have been under sustained pressure, and that stress is now spreading to the broader market, especially firms whose high capex needs draw close scrutiny from bond investors.
This reflects a shift in the market's core anxiety — from "Can AI make money?" to "Where does the money for AI come from, and can the cost be sustained?"
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