$CoreWeave, Inc.(CRWV)$ Looking ahead: why AI infrastructure keeps expanding regardless of Fed rates.
AI demand is non-cyclical, it is structural. The compute demand is driven by hyperscalers, enterprise AI adoption, sovereign AI, defense and national security, and inference workloads exploding. These forces do not slow down because the Fed moves 25-50 bps. AI is not a discretionary consumer product. It is a strategic infrastructure race.
Hyperscalers are increasing capex even during high-rate periods. Look at the last two years, rates were the highest in 20+ years, yet Microsoft AI capex, Google AI capex, Meta AI capex, and Amazon AI capex all hit record highs. If the biggest buyers of compute are accelerating spending in a high-rate environment, the argument that Fed rate moves stop AI expansion falls apart.
AI data centers behave more like utilities than tech startups. Utilities expand during high rates, low rates, recessions, and expansions because demand is inelastic. AI infrastructure is following the same pattern: long-duration contracts, locked-in demand, sovereign compute requirements, power-integrated campuses. This is not really rate-sensitive.
Capex is not a weakness, it is the moat. Bears keep repeating "capex" because they overlook that AI data centers require massive capex. High capex means barrier to entry, long-term revenue durability, and hyperscale alignment. If capex were a bear case, every AI data center company would be bearish, yet hyperscalers are spending tens of billions.
Even China's AI progress with DeepSeek and Moonshot does not change U.S. infrastructure demand. China can build models, but China cannot host U.S. enterprise workloads, U.S. sovereign AI, U.S. defense AI, or U.S. regulated data. So U.S. domestic infrastructure, including CRWV, keeps expanding regardless of Fed rates, China's AI breakthroughs, or global model competition. Infrastructure is sovereign.
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