Money isn’t just paper in your pocket anymore. It’s code. It’s data. It’s an algorithm deciding if your transaction is fraud or genuine.
That is exactly why TechCrunch Disrupt 2066 is launching something new. The Smart Money Stage.
It’s not a marketing gimmick. It’s a dedicated space for the messy, rapid evolution of fintech. From October 13 to 15, San Francisco’s Moscone Center will host the collision of payments, artificial intelligence, and global finance.
If you are looking for signal, not noise, this is where you go.
What is the Smart Money Stage covering at Disrupt 26?
The lineup reads like a who’s who of the new financial order. We have leaders from Circle, Robinhood, American Express, Plaid, and Airwallex.
They aren’t just giving keynotes. They are digging into the mechanics.
How do stablecoins compete with traditional banking rails? Why do AI agents need better identity verification? And how do you build financial infrastructure that works globally, not just locally?
Tickets are still available, but the early pricing window is closing. If you wait, you pay more.
The Future of Money Movement: Stablecoins vs. FedNow
This session tackles the plumbing.
Money moves faster now. Much faster. But who controls the pipes?
Nikhil Chandhok from Circle will join Rodney Robinson of TabaPay and Lotti Siniscalco from Emergence to break it down. They are looking at where stablecoins gain traction versus where instant payment networks like FedNow dominate.
It is a regulatory minefield. And a market opportunity.
The discussion will cover:
– How private payment networks fit into the legacy banking system
– The friction between new stablecoin rails and government mandates
– Which challenges remain unsolved for global money movement
It is not about picking a winner. It is about understanding the infrastructure.
Winning the Modern Financial Consumer: Beyond Robinhood
Robinhood used to be just a trading app.
Now it is a $90 billion financial super-app. Banking. Crypto. Prediction markets. Credit.
Abhishek Fatehpuria, Head of at Product at Robinhood, is explaining the pivot. How do you build trust when your product does everything? How do you keep security tight while scaling to millions of users?
The consumer expectation has shifted. People want speed. They want integration. They want their finances to just work.
Fatehpuria will detail the technology stack required to hold that weight. It is not easy. Most companies fail here.
AI, Trust & Verification: Can Machines Handle Your Money?
Artificial intelligence is no longer just generating text.
It is making decisions. Spending money. Flagging fraud.
This is where it gets risky.
Hannah Bozian from American Express, Pedro Sanzovo from Plaid, and Victoria Zuo from QED Investors will discuss the new reality of agentic AI in finance.
The core question: Can we trust an AI agent with financial authority?
They will cover:
– How AI is changing fraud prevention workflows
– The necessity of human oversight in automated systems
– Privacy and identity verification in a world of bots
Transparency matters. If an AI denies your transaction, you deserve to know why.
Building the Infrastructure for Global Commerce
Traditional banks hate borders.
Airwallex was built to solve that. Valued at $11 billion, they are creating an AI-native financial operating system.
Jack Zhang, Founder and CEO, will explain how they embed financial products directly into business platforms. It is about moving money across borders without the traditional friction.
He will detail how AI reshapes payments for millions of businesses. It is not just about speed. It is about compliance. It is about building regulated infrastructure that scales globally.
Why Attend?
You might ask: Why does this matter to me?
Because money is changing. Fast.
Whether you are building the next payment rail or trying to figure out where AI fits into your fraud stack, you need context.
The Smart Money Stage at TechCrunch Disrupt offers that. It strips away the spin.
The tickets are going. The window is closing.
Will you be there when the rules of finance rewrite themselves?
