Last Year, New Fed Chair Kevin Warsh Believed Artificial Intelligence Would Pave the Way for Interest Rate Cuts. Now, It's Doing the Exact Opposite.

AI-driven capex may be a major driver of the recent rise in U.S. bond yields, with the Magnificent Seven’s 2025 AI infrastructure spend estimated at $400 billion and revised up to about $725 billion. The article argues this spending could be adding roughly 1.3% of GDP growth, lifting the real rate even as break-even inflation has risen only 15 bps since the Iran war began. That leaves Kevin Warsh facing a market backdrop in which rising 10-year Treasury yields toward 5% could increase pressure on the Fed to consider tighter policy later this year.

Analysis

The market is starting to price a regime where AI capex is no longer just a stock-selection story; it is becoming a macro input that can keep the term premium elevated even if headline inflation cools. That matters because the first-order winners of AI spending can still be second-order losers in the rates market: the more hyperscalers pull forward infrastructure budgets, the more they create growth impulses that tighten financial conditions and keep duration under pressure.

The immediate beneficiaries are the suppliers with the cleanest exposure to incremental data-center buildout, but the better trade is likely in the second derivatives of that spend. Power, networking, and equipment bottlenecks should enjoy stronger pricing power than the headline platform names, while the hyperscalers themselves may see near-term multiple compression if investors begin to treat AI capex as lower-ROIC industrial spending rather than optionality.

The contrarian miss is that the market may be overstating the persistence of this capex impulse. If management teams are front-loading AI budgets into 2025-26, the next risk is not weaker demand but a digestion phase that can hit the same cohort that benefited first, especially if financing costs stay high and revenue monetization lags. That creates a path where yields remain sticky in the near term, but the setup becomes less favorable for the broad AI complex on a 6-12 month horizon.

For policy, the key is that a sustained rise in real yields tightens the Fed’s reaction function even if breakevens stay contained. If the 10-year approaches 5%, the odds of a hawkish pivot rise materially, and that would likely re-rate the highest-duration equities first, with semis and unprofitable AI infrastructure names most exposed to multiple compression.

Key Decisions for Investors

• Long MSFT / AMZN vs short IWM for 1-3 months: own hyperscaler capex leaders while fading small caps most exposed to higher real rates; risk/reward improves if yields keep grinding higher rather than on a sharp risk-off shock.
• Rotate from NVDA into a basket of AI infrastructure suppliers with less valuation risk over the next 4-8 weeks; if capex stays elevated, the broader supply chain should capture more durable pricing power than the most crowded AI beta.
• Initiate a tactical short in long-duration growth proxies via QQQ puts expiring in 2-4 months; asymmetric payoff if the 10-year challenges 5% and the market reprices the Fed path.
• Pair long financials with short rate-sensitive software for 3-6 months; higher real yields support bank NIMs faster than they support AI monetization multiples.
• Avoid adding to INTC on the thesis of AI capex alone until there is evidence of share gain, not just industry spend; the risk is that rising budgets benefit the ecosystem but not the laggards.