American investment banking giant Goldman Sachs has restricted most of its bankers and traders from using advanced artificial intelligence coding tools, including Anthropic’s Claude Code and Microsoft’s GitHub tools.
The decision follows an internal review of productivity and risk management, marking a significant change in the bank’s approach to adopting artificial intelligence across its workforce.
According to a Bloomberg report published on November 2, 2026, updated internal guidance issued in October now limits access to these advanced coding tools primarily to engineering employees.
The restriction represents a shift from the bank’s earlier approach, which allowed employees outside technical departments to experiment with AI-powered coding assistants.
The decision has reportedly frustrated some traders who had incorporated the tools into their everyday responsibilities.
Why Goldman Sachs Is Restricting AI Tools
Goldman Sachs reportedly reviewed how employees were using advanced AI coding tools before deciding to narrow access.
Although these technologies can improve productivity, their use within a major financial institution raises important questions about security, accountability and operational risks.AI coding assistants can generate software, analyses information and automate complicated tasks.
However, when employees use these tools without appropriate technical oversight, financial institutions must consider potential errors, data protection and compliance challenges.
Goldman Sachs spokesperson Nick Carcaterra explained that the bank evaluates different factors, including productivity and risk management, before deciding which employees should have access to particular AI tools.
The bank maintains that its decision is about ensuring the tools are used by employees best positioned to benefit from them over the long term.
What This Means for the Future of AI in Banking
The decision by Goldman Sachs raises important questions about the future relationship between artificial intelligence and the financial industry.
AI coding assistants are becoming increasingly powerful, allowing employees to complete tasks that previously required specialised technical knowledge.
However, financial institutions operate under strict regulatory and security requirements.
Giving employees access to powerful AI agents could create challenges involving confidential information, software reliability and accountability.
For Goldman Sachs, restricting access may provide an opportunity to balance technological innovation with stronger oversight.
The move also highlights an important reality: artificial intelligence may become increasingly important in banking, but human expertise and professional supervision remain essential.
Conclusion
Goldman Sachs’ decision to restrict most bankers and traders from using advanced AI coding tools represents a notable development in the financial industry’s relationship with artificial intelligence.
Although the technology offers opportunities to improve efficiency and automate everyday tasks, concerns about productivity, security and risk management are influencing how major financial institutions adopt it.
As artificial intelligence continues to transform the banking industry, other financial institutions may face similar decisions about who should have access to increasingly powerful AI tools.
