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Odd Lots: Goldman’s Argenti on the Improvements in AI (Podcast)

Tracy Alloway, Joe Weisenthal
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⚡ Quantum Brief
Goldman Sachs CIO Marco Argenti revealed accelerated AI adoption since 2024, shifting from experimental tools to enterprise-wide deployment, driven by advancements in agentic platforms like Claude Code. Agentic AI now automates complex workflows in trading, risk assessment, and client services, reducing latency and operational costs while maintaining compliance—marking a leap from earlier generative AI pilots. Argenti highlighted Claude Code’s role in code generation and debugging, cutting software development cycles by 40% and enabling faster iteration of proprietary trading algorithms. The bank prioritizes hybrid AI models, combining internal datasets with third-party LLMs to mitigate data privacy risks while leveraging external innovation for competitive edge. Despite progress, Argenti cautioned about over-reliance on AI, emphasizing human oversight for high-stakes decisions and ongoing investments in explainability tools to meet regulatory demands.
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When we last spoke to Marco Argenti, chief information officer at Goldman Sachs, we were talking about how the bank was deploying AI, including the development of its own internal tools. But that was a year and a half ago and a lot has changed since then, especially with the arrival of agentic platforms like Claude Code. So what exactly is Goldman Sachs doing with AI now? And what has its experience with the new tech been like so far? On this episode, we catch up with Marco to discuss what AI de

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