How the Circle IPO Accelerates Agentic Commerce

It’s a big day for everyone who's been building the future of digital money and AI because Circle, the creator of the USDC stablecoin, completed its initial public offering on the NYSE. Congratulations to the entire Circle team on this incredible achievement!

Many people on our team played roles in Circle’s growth over the years, including our CEO, Sean, who co-founded Circle, so we’re psyched to see our colleagues and friends reach this historic milestone. We’re also excited about the momentum the IPO creates for the adoption of USDC as foundational financial infrastructure for the global economy. USDC will play a critical role in agentic commerce.

From Stablecoins to Agentic Commerce

Circle and USDC are leading the movement of stablecoins into the mainstream. Major financial institutions are becoming comfortable with the value and features that stablecoins unlock. Regulatory clarity is emerging through legislation like the GENIUS Act in the U.S. and MICA in Europe. Transaction volumes already exceed traditional payment networks.

The adoption of USDC,EURC, and potentially other regulated stablecoins directly enables what we're building at Catena—an AI-native financial institution made with AI agents for AI agents. Agents need programmable money that settles instantly everywhere around the globe, costs almost nothing to transfer, and operates 24/7. Traditional banking wasn't designed for machine-speed commerce, but stablecoins were.

When we started Catena, we saw this convergence coming: proven stablecoin infrastructure meeting the emerging need for AI agents to participate directly in the economy. Circle's IPO accelerates both sides of that equation.

Why This Moment Matters

The timing creates a pivotal moment for agentic commerce. AI agents are becoming sophisticated enough to handle complex economic tasks, and now public markets are validating the infrastructure layer that makes it all possible.

We're seeing emerging needs and opportunities everywhere. A few examples: Research agents that could license data and content if they could execute payments directly. Supply chain agents that can identify cost savings, but don’t yet negotiate and execute transactions. Personal finance agents that could spot better deals but currently can't act on them.

As we explored in "Beyond Automation: Why AI Agents Need Their Own Money", these aren't edge cases—they're systematic limitations of financial systems built for humans, not machines.

Congrats again to the Circle team. We look forward to working together to raise global prosperity with innovative new technologies and financial services.