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Fed Chair Kevin Warsh Has a New Inflation Nightmare: AI Is Skyrocketing Prices

NVDA
Monetary PolicyInflationEconomic DataInterest Rates & YieldsArtificial IntelligenceTechnology & InnovationCorporate EarningsCompany Fundamentals

Headline PCE inflation is running at 4% and core PCE at 3%, while the federal funds rate sits at 4% and the 10-year Treasury yield has risen to 5%, near a 12-month high. The article argues that AI-driven capex is reversing decades of semiconductor price disinflation, with NVIDIA's NVL72 bill of materials jumping 435% to $2.0M and data center revenue reaching $75.25B, up 92% year over year. The implication is a more hawkish Fed backdrop and a higher-for-longer rate environment if semiconductor and PCE data keep firming.

Analysis

The market is treating AI capex as a one-way demand shock, but the more important second-order effect is that it creates a new inflation constituency inside the industrial complex. If hyperscalers keep locking in long-dated supply, pricing power migrates upstream into memory, power infrastructure, cooling, copper, and skilled labor, which is exactly where monetary policy has the least ability to respond without collateral damage. That means the inflation impulse can persist even if consumer demand softens, because the bottleneck is capacity reservation, not end-demand exuberance. For NVDA, the bullish setup is still intact operationally, but the stock is increasingly exposed to a margin compression narrative if customers start pushing back on system-level pricing or if competitors use open-architecture alternatives to slow spend per unit of compute. The bigger hidden risk is that a rising bill of materials can eventually cap unit growth even if revenue remains strong, especially if capex budgets get reallocated from growth projects to maintenance. In that regime, the market may stop rewarding pure top-line beats and start discriminating on free-cash-flow efficiency and supply-chain discipline. Rates are the cleaner macro expression. A higher-for-longer Fed combined with sticky producer prices argues for curve bear-steepening near term if growth data does not crack, but the latent tail risk is a later growth break once financial conditions fully transmit into housing, autos, and small business credit. That creates a fragile equilibrium: inflation protection can work for months, but the unwind could be abrupt if the labor market or sentiment rolls over while real rates stay restrictive. The contrarian view is that the semiconductor inflation scare may be too early and too linear. AI infrastructure is still a concentrated spend by a handful of firms, and if capital discipline returns, semiconductor PPIs can mean-revert quickly; meanwhile, the rest of the economy is not getting the same pricing power. The market may be overpaying for a permanent regime change in silicon scarcity when the more likely outcome is a volatile, multi-quarter spike followed by normalization.