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Financial services verticals (Jane Street, Hudson River Trading) now represent ~$10B of CoreWeave backlog, with Jane Street adding $6B of capacity in Q1 2026
Michael Intrator· CoreWeave· AI· 2026-05-08· about Jane Street, Hudson River Trading, CoreWeave
“Within financial services, technology-driven firms are scaling their core machine learning workloads with CoreWeave... This vertical is already approaching $10 billion in our revenue backlog, driven by expanded commitments from existing partners like Jane Street, who added $6 billion of capacity in Q1...”
Why it matters
Financial services firms (primarily quantitative trading shops like Jane Street and Hudson River Trading) are now major AI infrastructure consumers, deploying billions in compute spend for machine learning. This validates AI inference use cases in finance beyond model development.
Investment implication
Financial services AI adoption is accelerating beyond large tech hyperscalers, indicating broadening AI monetization. Quant hedge funds and trading firms are becoming significant capex drivers for GPU/compute providers. This suggests AI infrastructure demand is diversifying away from foundational model labs toward enterprise AI workloads.