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Goldman Sachs is piloting its first autonomous coder in major AI milestone for Wall Street

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Goldman Sachs is piloting its first autonomous coder in major AI milestone for Wall Street

Goldman Sachs is piloting Cognition's autonomous AI software engineer, Devin, aiming to integrate hundreds, potentially thousands, of these agents into its development workforce to automate complex, multi-step tasks and boost productivity by an estimated three to four times. This adoption by a major bank signals a significant shift towards 'agentic AI' on Wall Street, moving beyond basic cognitive assistants, and while Goldman envisions a 'hybrid workforce' where humans supervise AI, it also underscores broader industry concerns about potential job displacement, with up to 200,000 bank jobs globally at risk due to AI in the coming years.

Analysis

Goldman Sachs is pioneering the adoption of 'agentic AI' on Wall Street by piloting Devin, an autonomous AI software engineer from the venture-backed startup Cognition. According to Goldman's tech chief Marco Argenti, the bank plans to deploy hundreds, and potentially thousands, of these AI agents to augment its 12,000-strong developer workforce, anticipating productivity gains of up to three or four times that of previous AI tools. This move represents a significant escalation from the cognitive assistants previously rolled out by peers like JPMorgan Chase and Morgan Stanley, as Devin can execute complex, multi-step engineering tasks with minimal human supervision. The strategy is to create a "hybrid workforce" where AI handles routine work, such as code updates, allowing human engineers to focus on higher-value problem-solving and supervision. This initiative positions Goldman as a first-mover among major banks in leveraging this advanced technology, reflecting a broader corporate trend where tech giants like Microsoft and Salesforce already report AI handling up to 50% of coding work. While Goldman does not hold a stake in Cognition—a startup whose valuation recently doubled to nearly $4 billion—its adoption validates the high-growth potential of applied AI. However, this advancement also underscores the significant risk of job displacement in the financial sector, with one forecast predicting up to 200,000 job cuts at banks over the next three to five years due to AI integration.