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Jane Street and Rivals Are Now Fighting for AI Power as Well as Pace
High-frequency trading firms are aggressively hoarding compute and GPU capacity to remain competitive in an AI-driven market.
What: Trading firms like Jane Street and HRT are investing billions into computing infrastructure to run machine learning models. These models are now essential for identifying microscopic price discrepancies, forcing firms to treat compute as a critical strategic asset to avoid obsolescence.
Why it matters: The democratization of AI has turned computational speed and throughput into the primary competitive moat for finance, moving the arms race from network latency to raw AI processing power.
Original article
High-frequency traders are now racing for compute. They are investing in the sector as it secures them access to greater processing capacity and faster chips. These firms primarily profit from tiny price differences as they move rapidly in and out of positions. As they increasingly rely on machine learning, their success is directly tied to their computing power. While the risks are significant, most high-speed traders see few options if they want to avoid becoming obsolete.
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