This panel explores how agentic AI moves banking from task automation to autonomous decision-making systems that act in real time across functions. Executives will examine where traditional operating models break down in 24/7, high-velocity environments and what it means when software, not people, initiates actions. The discussion focuses on where autonomy adds value, where human judgment remains essential, and how banks must rethink accountability, escalation, and organizational design. The discussion will include:

• Agentic AI vs. rules engines and predictive models
• Why 24/7 markets expose human-centric operating limits
• Which banking decisions are ready for autonomy today
• Redefining human oversight in an agent-driven environment
• Implications for staffing, skills, and executive ownership

Generative AI has moved beyond experimentation into production at scale—Goldman Sachs alone has deployed AI tools to thousands of employees and is working with partners to build autonomous agents for accounting and client onboarding. This fireside chat examines how various frameworks must evolve when actions occur at machine speed. Daniel Marcu, Partner and Global Head of AI Engineering and Science at Goldman Sachs, will discuss:

• How Goldman Sachs has introduced generative AI to its workforce—and what has changed as more agentic frameworks take place
• Building trust into AI systems from the ground up: explainability, auditability, and control
• The path forward: which banking functions are ready for autonomy today, and what still requires human judgment

This panel focuses on where agentic AI creates measurable competitive advantage: faster risk decisions, proactive client engagement, real-time liquidity management, and scalable growth without linear cost increases. Executives will explore how agentic systems enable banks to operate confidently in on-chain finance, instant payments, and global markets—while maintaining trust with clients and regulators. The discussion will focus on:

• Agentic AI in fraud, AML, and real-time risk prevention
• Always-on client service and relationship management
• Treasury, liquidity, and balance sheet optimization
• Operating digital assets and tokenized markets safely
• Why speed itself is becoming a regulated capability
• Separating leaders from fast followers in AI adoption