SKN | Goldman Sachs CEO David Solomon Calls for Corporate Accountability in AI Risk Management

Key Takeaways:

• Goldman Sachs CEO David Solomon has warned that companies adopting artificial intelligence must take greater responsibility for managing the associated risks.
• Solomon cautions against simply applying traditional banking regulatory structures to AI oversight, highlighting the need for an approach suited to the technology.
• For Goldman Sachs, the message reinforces the importance of responsible AI adoption, with governance and accountability remaining central as businesses expand their use of the technology.

Goldman Sachs chief executive David Solomon has called on companies adopting artificial intelligence (AI) to take greater ownership of the risks arising from its use. In comments reported by The Banker on October 23, 2026, Solomon argued that businesses should be accountable for managing AI-related risks rather than assuming that existing regulatory frameworks can simply be transferred to the technology.

Writing in an opinion piece for the Financial Times, Solomon cautioned against “grafting bank regulatory structure on to AI oversight”. His position raises an important question for financial institutions and other businesses: how can organisations establish effective oversight of rapidly evolving technology without relying on rules designed for a different operating environment?

Goldman Sachs Highlights the Need for Accountable AI Governance

Solomon’s central message is that companies must take responsibility for the risks created by their own AI adoption. This places accountability with the organisations deploying the technology, rather than treating external regulation as the sole mechanism for controlling potential harm.

For Goldman Sachs, whose activities span investment banking, markets, and asset management, AI adoption carries implications for operational processes, decision-making, data handling, and risk controls. The CEO’s comments underscore why governance must develop alongside implementation, although the report does not set out a new Goldman-specific AI policy or disclose changes to the bank’s internal controls.

Solomon’s warning also reflects the challenge facing policymakers. Banking regulation has evolved around established financial risks, institutional responsibilities, and supervisory arrangements. AI systems can introduce different questions concerning reliability, accountability, and how decisions are generated. A framework that works for conventional banking activity may not automatically address every risk associated with AI.

Why Solomon Questions a Direct Regulatory Transfer

Solomon’s caution against directly transplanting banking regulation into AI oversight does not amount to a rejection of regulation. Rather, it highlights the importance of designing oversight that reflects the technology’s particular characteristics and the responsibilities of the organisations using it.

For banks, this distinction matters. Financial institutions operate within established compliance and risk-management obligations, but AI deployment may require additional scrutiny of model outputs, data quality, human supervision, and the consequences of automated decisions. The precise controls required will depend on how each system is used and the risks it creates.

The available report does not provide a detailed regulatory blueprint from Solomon. His intervention is best understood as a call for companies to own their AI risks while ensuring that oversight is appropriate to the technology.

What the Message Means for Goldman Sachs and Its Clients

Solomon’s remarks place responsible implementation alongside the commercial opportunities of AI. For Goldman Sachs, the wider strategic issue is how to capture potential efficiency and analytical benefits without allowing technological adoption to outpace risk management.

For investors and wealth holders, the message is relevant beyond Goldman itself. AI may change how financial institutions operate, but its value depends partly on the quality of governance surrounding its use. Clear accountability, suitable controls, and disciplined implementation can be as important as the technology’s capabilities.

The broader takeaway from Solomon’s intervention is measured: companies should not treat AI risk as someone else’s responsibility. They must understand how they deploy the technology, identify the risks it creates, and establish appropriate oversight as adoption expands.

For a confidential discussion regarding your cross-border banking structure and global wealth management arrangements, contact our senior advisory team.