Goldman Sachs Restricts Most Staff From Using AI Coding Tools, Per Bloomberg

Goldman Reins In the AI Experiment

Goldman Sachs has restricted most of its staff from using AI tools designed for coding, citing productivity and risk concerns, per Bloomberg.

The bank's updated internal guidance, issued in October, limits tools such as Anthropic's Claude Code and Microsoft's GitHub offerings to engineers only, ending a period in which bankers and traders had broad access.

A Reversal From the Summer

The move is a sharp turn from July, when Chief Information Officer Marco Argenti was publicly praising "vibe coding" by non-technical staff.

Under that setup, bankers and traders built their own solutions with AI tools, then handed them to one of the firm's roughly 12,000 engineers to refine.

Traders had used the tools to monitor client trading flows, model market moves and positions, and produce written and graphic content, per Bloomberg. Some are reportedly frustrated by the ban.

A Goldman spokesperson told Bloomberg the firm makes certain AI tools available so staff can find the best use cases, and that after a period of experimentation assessing factors including productivity and risk management, it puts the tools "in the hands of those who are best suited to leverage them for the long term."

The bank's "strats," whose roles blend trading, quantitative research and software engineering, are not covered by the restriction, per reports.

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Wall Street Is Drawing Lines Around AI

Goldman is not alone in tightening the rules. Banks are spending heavily on AI while wrestling with cost, cybersecurity and compliance risks.

JPMorgan Chase CEO Jamie Dimon warned of "rogue agents" during the bank's third-quarter earnings call and said outside AI agents would not be permitted inside the bank.

Goldman had also narrowed AI use earlier this year in Hong Kong, where it restricted use of Anthropic's Claude, per Bloomberg.

Options and Market Impact

The headline is a sentiment check on how fast enterprise AI spending converts into real productivity, a question hanging over the whole AI trade.

Stocks to watch include Goldman Sachs itself, where investors are tracking AI-driven efficiency claims, and Microsoft, whose GitHub and Copilot products are core to enterprise coding budgets.

On the private side, the tools at the center of the story belong to Anthropic, which is not yet public. For traders, the tradable read-through is bank cost guidance and enterprise software seat growth rather than any single name's headline move.

Watch options flow in GS and MSFT around bank earnings and AI spending updates for signs of how institutions are pricing the enterprise AI rollout.

Bottom Line

Goldman spent the summer celebrating staff-built AI tools and the fall quietly taking them back. The episode does not dent the AI buildout, but it is a reminder that on Wall Street, access follows risk reviews, not hype.

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