ISDA AGM: CIO Marco Argenti Says Tone From the Top Is Not Enough
- Goldman Sachs has initiated a large-scale training program, sending nearly half of its workforce to artificial intelligence bootcamps to drive the mass adoption of AI technology across the...
- The initiative is part of a broader effort to integrate AI into the company's operational framework and prepare staff for a shifting technological landscape.
- The push for AI adoption coincides with ongoing discussions regarding the management of cyber and operational risks within the financial sector.
Goldman Sachs has initiated a large-scale training program, sending nearly half of its workforce to artificial intelligence bootcamps to drive the mass adoption of AI technology across the firm, according to reporting by Risk.net.
The initiative is part of a broader effort to integrate AI into the company’s operational framework and prepare staff for a shifting technological landscape. The program utilizes a combination of formal education and peer influence to encourage employees to incorporate AI tools into their daily workflows.
Operational Risk and Governance
The push for AI adoption coincides with ongoing discussions regarding the management of cyber and operational risks within the financial sector. During the International Swaps and Derivatives Association (ISDA) Annual General Meeting held from April 28 to April 30, 2026, in Boston, industry leaders addressed the complexities of maintaining stability while adopting new technologies.

Marco Argenti, chief information officer, emphasized that executive support alone is insufficient for managing the risks associated with these transitions. Argenti stated that tone from the top is not enough
when addressing the systemic challenges of operational risk and the integration of AI.
The ISDA AGM, which marked its 40th anniversary in 2026, served as a forum for derivatives professionals to debate the impact of digitalization and the shift toward tokenization on market safety and efficiency.
Strategic AI Integration
Goldman Sachs’ approach to AI education has evolved from targeted pilots to a firm-wide strategy. In mid-2023, the firm piloted an AI school in India, which aimed to train over 1,000 non-engineers across various functions, including risk management, global banking, markets and asset and wealth management.
This educational push has since expanded to include external partners. On May 21, 2025, the firm announced it was bringing its AI education program to executives of its portfolio companies to assist them in navigating the technology.
The current training surge is linked to a multiyear initiative known as OneGS 3.0. This program is designed to weave AI, clean data, and shared platforms across every division of the firm to increase productivity and redesign work processes.
Industry Context
The drive toward AI adoption at Goldman Sachs reflects a wider trend among global banks attempting to balance efficiency gains with the necessity of strict risk management. The integration of these tools introduces new vulnerabilities in cyber risk and operational resilience, requiring a shift in how firms train their personnel and govern their technology stacks.
As financial institutions move toward a more automated environment, the focus has shifted from simply procuring technology to ensuring that the human workforce can operate these systems safely. The use of bootcamps suggests a move toward rapid upskilling to prevent a gap between the firm’s technological capabilities and its employees’ ability to manage the resulting risks.
