According to reporting by Bloomberg News published via State of AI on November 2, 2026, Goldman Sachs has revised internal technology governance to bar front-office bankers and market traders from utilizing generative coding tools, restricting platforms like Anthropic's Claude Code and Microsoft's GitHub strictly to designated software engineers.

The policy shift curtails widespread experimentation across Goldman's trading divisions, where staff without formal computer science backgrounds had begun leaning on automated coding assistants to inspect client trading flows, build quantitative scenario projections, and generate visual market collateral. A person familiar with internal trading operations noted that desks expressed frustration after relying on these tools to streamline repetitive modeling workflows.

Only quantitative strategists—known internally as Strats, who operate at the technical intersection of quantitative algorithmic modeling, trading desks, and software engineering—have retained access alongside the bank's central engineering division. Bank spokesperson Nick Carcaterra stated that Goldman Sachs routinely evaluates and restricts AI tool deployments across business units to establish best use cases under controlled parameters.

The move marks a stark operational pivot for chief information officer Marco Argenti. As recently as July 2026, Argenti publicly championed 'vibe coding' by non-technical employees, explaining how traders quickly sketched initial software prototypes with AI agents and passed them to engineering staff for formal refinement. However, enterprise risk teams raised concerns over untracked code execution and sensitive customer data handling on production workstations.

The bank previously demonstrated regulatory sensitivity in April 2026 when it quietly severed Claude access from its internal portal for bankers in Hong Kong. The current tightening arrives at a delicate moment for institutional relationships, as Goldman Sachs serves as a prominent lead underwriter on Anthropic's anticipated multi-billion-dollar initial public offering.