The rise of AI agents as economic actors is no longer a distant future—it’s happening now, and it’s reshaping the very fabric of how we think about transactions, value, and accountability. But here’s the kicker: while agentic payments are often the first thing that comes to mind, they’re just the tip of the iceberg. What’s truly transformative is the emergence of an operating layer for the agentic economy, a framework that goes far beyond payments to enable AI agents to hold value, negotiate, settle transactions, and even take responsibility when things go wrong. This isn’t just a tech upgrade; it’s a paradigm shift in how we structure economic systems.
Personally, I think what makes this particularly fascinating is how quickly the infrastructure is evolving. USDC, for instance, is already settling nearly 98.6% of agent-initiated transactions, according to Keyrock’s study. That’s not just impressive—it’s a clear signal that the crypto rails are becoming the default payment layer for AI agents. But here’s the catch: while the technology works, institutional adoption is lagging. Why? Because the real challenge isn’t the payments themselves; it’s the governance, identity, and accountability frameworks that institutions need to trust these systems.
One thing that immediately stands out is the disconnect between current volumes and future projections. Today, agentic payments are a drop in the ocean compared to traditional fiat or even stablecoin transactions. MPPScan, for example, shows just $240,000 in all-time volume across 1.7 million transactions. Yet, forecasts like Bain’s predict that 15-25% of US e-commerce could be mediated by agents by 2030. What this really suggests is that we’re in a planning window—a critical phase where the infrastructure is being built, but the rules of the game are still being written.
From my perspective, the most intriguing part of this story is the operating layer itself. It’s not just about enabling payments; it’s about creating a system where AI agents can act as autonomous economic entities within regulatory boundaries. This means solving for identity (who’s allowed to act?), delegation (what limits do they have?), policy (how do we audit their actions?), and recourse (who’s accountable when things break?). These aren’t technical problems—they’re institutional and regulatory challenges.
What many people don’t realize is that the card networks and major players like Visa, Mastercard, and JPMorgan are already positioning themselves for this future. They’re building the identity, tokenization, and consent layers ahead of broad demand. But here’s the rub: until these frameworks converge into a workable institutional standard, treasurers won’t authorize agent-initiated payments at scale. It’s a classic chicken-and-egg problem, but one that’s being actively addressed.
If you take a step back and think about it, the agentic economy isn’t just about payments—it’s about redefining economic activity itself. It’s about programmable value exchange, machine-to-machine coordination, and even treasury management. The honest truth is that while we’re not behind on agentic payments, we’re likely behind on building the broader agentic economy. And that’s where the real opportunity—and risk—lies.
In my opinion, the priorities for the next four quarters are clear:
1. Move beyond payments to focus on the entire agentic economy. It’s not just about transactions; it’s about making agent-led activity governable, auditable, and safe.
2. Document the agent-policy framework now. Institutions that define what agents can do, within what limits, and with what monitoring, will be the ones to scale when the volume arrives.
3. Plan across the full operating layer. Stablecoins are just one piece of the puzzle. Blockchains, wallets, identity, audit, and settlement finality all need to be part of the conversation.
What this really suggests is that the agentic economy isn’t just a tech trend—it’s a cultural and economic shift. It’s about trusting machines to act on our behalf, within boundaries we define. And while the technology is ready, the institutions, regulations, and frameworks are still catching up.
So, are we behind on the agentic economy? Probably. But that’s not a bad thing. It’s a call to action—a chance to shape a future where AI agents aren’t just tools, but partners in a new economic paradigm. The question isn’t whether we’re ready; it’s whether we’re willing to build the systems that will make it possible.
