"We're moving beyond AI as a tool that assists humans to AI as an actor that takes action on our behalf. Agentic AI is no longer a research project. It's live. Capital One has AI agents helping consumers buy cars. Visa is letting AI agents spend your money. RBC has agents executing trades, learning and adapting in real-time to market conditions."
"The infrastructure question has become critical: what do you need when an AI agent is handling real financial transactions at 2 AM? How do you architect for reliability when there's no human in the loop?"
"At Nvidia, he's working with firms like Capital One, Visa, and RBC as they deploy agentic AI in production-not pilot programs, actual live systems processing real transactions."
Agentic AI now executes financial actions autonomously, including consumer purchases, spending, and trade execution. Capital One, Visa, and RBC operate live agentic systems that process real transactions and learn in real time. Deploying agentic AI at scale requires infrastructure for continuous availability, high-throughput compute, low-latency decisioning, orchestration of multi-agent interactions, and robust monitoring. Security and governance must address agents that control funds and adapt autonomously. Reliability engineering must prepare for unattended operation during off hours. Financial institutions must plan compute capacity, risk controls, observability, and secure interfaces to safely move agentic AI from pilots to production.
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