Goldman Sachs pulls Claude code from bankers and traders
anthropic claude copilot microsoft
| Source: HN | Original article
Goldman Sachs has restricted its bankers and traders from using Anthropic's Claude Code and Microsoft’s GitHub Copilot AI tools.
Goldman Sachs has revoked access to Anthropic’s Claude Code and Microsoft’s GitHub Copilot for its front‑office staff, confining the AI‑coding assistants to the firm’s roughly 12,000 engineers. The move, reported by Bloomberg, follows an internal “productivity‑and‑risk” review that prompted updated guidance in October. Until now, traders and bankers had been using the tools to track client flows, build market models and even experiment with “vibe coding,” a practice publicly praised by CIO Marco Argenti in July.
The restriction reflects growing concerns that generative‑AI code assistants can introduce compliance and security risks in a heavily regulated environment. By limiting the tools to the “strats” group – software engineers who also perform quantitative work – Goldman aims to retain the productivity boost for its technical teams while tightening oversight where the potential for data leakage or model‑driven errors is higher. The decision arrives as the bank prepares to underwrite Anthropic’s upcoming IPO, underscoring the delicate balance between leveraging a partner’s technology and managing the attendant regulatory exposure.
Stakeholders will be watching whether Goldman’s policy shift triggers similar pullbacks at other financial institutions, especially as AI‑driven development tools become more widespread across trading desks. Regulators may also scrutinise the bank’s risk‑management framework for AI, potentially prompting industry‑wide guidelines. Finally, the impact on Anthropic’s IPO could be significant; investors will gauge whether the loss of a high‑profile client offsets the broader market enthusiasm for the company’s models. As we reported on Claude Code’s security flaws earlier this month, the episode highlights the tension between rapid AI adoption and the need for robust governance in finance.
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