Core PCE at 3.1% chokes the Fed’s cutting cycle as energy and tech capex collide
Sticky inflation forces higher-for-longer rates while AI infrastructure costs and geopolitical oil shocks tighten the macro vise across equity valuations and energy markets.
Core PCE inflation rose to 3.1% year-over-year in January, defying Fed expectations and constraining the timeline for rate cuts as instantaneous measures hit 3.6%. The Trading Economics data shows year-over-year core PCE up from 3% in December, while Econbrowser analysis using Goldman Sachs estimates puts instantaneous inflation at 3.6%, well above the Fed’s 2% target. This persistence creates a dual bind: equity markets face valuation pressure from prolonged monetary tightness, while energy markets price in sustained demand from both extended economic activity and supply-side geopolitical risk.
The Fed’s disinflation stall
The Federal Reserve cut rates to a 3.5%-3.75% range in December, but the RSM analysis of the dot plot shows only one additional 25-basis-point cut expected in 2026. Markets had priced two cuts—one in April and another in September—but sticky core inflation is forcing a reassessment. According to J.P. Morgan Global Research, the bank no longer expects any cuts this year, citing labor market resilience and inflation’s failure to cooperate.
Shelter costs remain the primary culprit, rising 3% year-over-year in February per Fox Business, while services inflation across medical care, household operations, and personal care continues to run above historical averages. The Cleveland Fed’s nowcast model suggests February core PCE will land at 3% year-over-year, but the acceleration in month-over-month readings signals upward pressure remains intact.
The Fed’s preferred inflation gauge, core PCE, excludes food and energy to isolate underlying price trends. When instantaneous measures exceed year-over-year figures, it indicates recent monthly inflation is running hotter than the trailing average—a signal that disinflation has stalled or reversed.
Higher-for-longer hits equity valuations
Tech valuations, already stretched after two years of AI-driven rallies, now face prolonged discount rate pressure. Per Goldman Sachs Research, “elevated valuations, higher interest rates and inflation, and slower expansion of world trade” create headwinds absent in past bull markets. The S&P 500’s forward P/E sits near historical highs, supported by strong fundamentals but vulnerable to earnings disappointments or multiple compression if rates stay elevated.
U.S. Bank Asset Management highlights the tension: valuations “could be reasonable” long-term, but near-term questions around tariff impacts, AI development costs, and capex sustainability create execution risk. Tech’s concentration—the Magnificent Seven represent over 30% of S&P 500 market cap—means sector-specific shocks transmit rapidly across portfolios.
Bond markets reflect the shift. The typical safe-haven bid during geopolitical stress has been muted as traders focus on inflation’s persistence rather than growth risks. Rising yields compress equity multiples mechanically: a 10-year Treasury at 4.5% instead of 3.5% reduces the present value of distant cash flows, hitting growth stocks hardest.
| Source | 2026 Cuts Expected |
|---|---|
| Fed Dot Plot (Dec 2025) | 1 cut (25 bps) |
| Market Pricing (CME FedWatch) | 2 cuts (Apr, Sep) |
| J.P. Morgan | 0 cuts |
| Goldman Sachs | 2 cuts (Mar, Jun) |
AI capex hits $700 billion as power costs spiral
Hyperscalers are pouring unprecedented capital into AI Infrastructure, with the five largest—Amazon, Alphabet, Microsoft, Meta, Oracle—projected to spend $660-$690 billion in 2026, per Futurum Group analysis. That’s a near-doubling from 2025’s $380 billion, driven by supply-constrained markets where compute demand exceeds available capacity.
The energy cost of this buildout is staggering. The International Energy Agency forecasts global data center electricity consumption will double to 945 TWh by 2030, representing 3% of global demand. A typical AI-focused hyperscaler consumes as much electricity annually as 100,000 households, with larger facilities under construction expected to use 20 times that, according to Pew Research.
Ratepayers are absorbing costs. Harvard Magazine reported that Virginia residential ratepayers could pay an additional $37.50 monthly for data center energy costs, while PJM electricity market capacity auctions drove average bills up $18 in western Maryland and $16 in Ohio. Per CNBC, wholesale electricity in data center regions costs up to 267% more than five years ago.
“It’s not clear to us that the benefits of these data centers outweigh these costs. Why should we be paying for this infrastructure? Why should we be paying for their power bills?”
— Eliza Martin, Harvard Environmental and Energy Law Program
The Macro implication: sustained AI investment keeps electricity demand—and thus natural gas demand—elevated, supporting energy prices even as broader economic activity cools. This demand persistence tightens the Fed’s inflation problem from the supply side.
Geopolitical oil shocks layer supply risk
Crude oil surged from $71 to $103 per barrel in two weeks following U.S.-Israel strikes on Iran on February 28, per Business Today. Brent briefly touched $119.50 before retreating below $90 as President Trump signaled the conflict could wind down, but the Strait of Hormuz—through which 20% of global oil supply flows—remains effectively closed to most tanker traffic due to attack threats and insurance cancellations.
The U.S. Energy Information Administration expects Brent to average $91/barrel in Q2 2026, assuming shut-in production peaks in early April across Iraq, Kuwait, UAE, and Saudi Arabia before gradually easing. Per J.P. Morgan, the bank forecasts Brent averaging $60/barrel for the full year if disruptions prove targeted and brief, but acknowledges “geopolitically driven crude rallies are likely to continue” given the region’s proximity to chokepoints.
Historical precedent suggests caution. The 1979 Iranian Revolution saw Oil Prices more than double, and Iranian crude production has never recovered to pre-revolution levels—still 2 million barrels per day below. While regime change risk is uncertain, such events “typically lead to a substantial spike in oil prices, averaging a 76% increase from onset to peak,” according to J.P. Morgan.
The inflation transmission is direct: gasoline prices surged above $3.50 per gallon nationally, with food prices accelerating as transportation costs rise. Core CPI may exclude energy, but energy feeds through to services and goods prices with a lag, complicating the Fed’s 2% trajectory.
Tech capex discipline meets energy reality
The collision of higher-for-longer rates and surging infrastructure costs is forcing capital allocation discipline. Per CNBC, Amazon faces negative free cash flow of $17-$28 billion in 2026, while Alphabet’s FCF could plummet 90% to $8.2 billion from $73.3 billion in 2025. Microsoft, Meta, and Alphabet collectively plan to issue approximately $93 billion in investment-grade bonds to finance the buildout, per CreditSights.
Capital intensity has reached “previously unthinkable levels”—57% of revenue for Oracle, 45% for Microsoft in the most recent quarter. Yet revenue visibility remains uncertain: Meta’s enterprise LLM API market share fell from 16% in 2023 to 8% in 2026, while Google’s Gemini surged from 7% to 21%, per Motley Fool analysis citing Menlo Ventures data.