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Evercore ISI raises CoreWeave stock price target on Jane Street deal

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Evercore ISI raises CoreWeave stock price target on Jane Street deal

Evercore ISI raised its CoreWeave price target to $150 from $120 after the company announced an approximately $6 billion expansion with Jane Street, including access to AI compute infrastructure and Nvidia’s Vera Rubin platform. Jane Street also committed a $1 billion equity investment at $109 per share, reinforcing funding support for CoreWeave’s growth capex. Evercore estimates the deal could add more than $1 billion in annual revenue and 100-120 MW of compute capacity, though shares already rose 31.8% in the past week and may be trading above fair value.

Analysis

The market is beginning to re-rate CoreWeave from a single-customer AI landlord into a broader infrastructure utility, and that matters more than the headline contract size. The second-order effect is financing: each new long-dated customer commitment lowers perceived asset obsolescence, which should compress debt spreads and improve equity issuance capacity, creating a self-reinforcing flywheel for capacity expansion. That dynamic is especially important because the business model is still capital intensive, so access to cheap capital is now as strategic as GPU supply. The more interesting read-through is to Nvidia. If customers are signing multi-year capacity deals anchored to next-gen platforms, the bottleneck shifts from model demand to rack deployment velocity, keeping NVDA’s enterprise exposure levered even if hyperscaler capex growth moderates. The incremental demand from non-frontier buyers also reduces the odds that GPU pricing normalizes quickly, which supports the “scarcity premium” embedded in the ecosystem for at least the next 2-3 quarters. The contrarian risk is that the stock may already be discounting a best-case path where financing stays open, execution stays clean, and customer concentration fears disappear all at once. In practice, the market could punish any delay in converting announced commitments into revenue recognition or any sign that new wins require increasingly expensive balance-sheet support. That creates a mismatch between near-term enthusiasm and medium-term dilution/credit risk, particularly if the next quarter shows another step-up in capex before cash flow inflects. For Meta, the signal is subtler: this reinforces that large-scale AI inference and training infrastructure is still constrained enough that external capacity is economically rational even for the biggest buyers. If that persists, the beneficiary is not just CoreWeave but the broader AI supply chain—Nvidia, high-speed networking, and power/cooling vendors—while smaller cloud providers face a tougher differentiation problem. The market is likely underestimating how quickly this can translate into broader secondary demand for adjacent infrastructure names over the next 6-12 months.