Sean Neville, CEO of Kadena Labs and co-founder of Circle, says stablecoins will evolve beyond payment rails into âmachine-native moneyâ that enables AI agents to transact autonomously.
In an interview with Benzinga, the Circle co-founder and Kadena Labs CEO traced his crypto journey to viewing âmoney as just dataâ that should âflow globally like any other kind of data on the internet.â
This philosophy drove Circleâs 2013 founding with the vision of creating âopen protocols and open rails for value transferâ that would be âalmost freeâ and operate without borders.
Circleâs pivot to USDC in 2018 addressed a fundamental payment reality that âwasnât necessarily as obvious in 2013-2014.â
While Bitcoin and Ethereum served as interesting assets, âwhen it comes to payments people mostly want dollars,â Neville explained.
The breakthrough insight was creating âa new form of a dollarâ that could utilize blockchain rails.
Regulatory compliance became central to Circleâs strategy from inception.
AI agents present unique identity and trust challenges that existing financial infrastructure cannot address. âHow do I even know if Iâm talking to an agent?â Neville asked, noting that traditional KYC and AML processes donât apply to artificial entities.
The convergence of stablecoins and AI agents creates new transaction paradigms. AI agents âdonât struggle as much with managing things like signing cryptographic messages.â
Stablecoin interoperability remains crucial as the ecosystem fragments across multiple issuers. âA dollar is a dollar is a dollar.â Neville emphasized, noting that agent workflows often involve âmultiple stablesâ requiring seamless conversion capabilities.
The Lummis-Gillibrand Act provides regulatory clarity that could accelerate adoption. While it âdefines a pretty clear regulatory pathâ for payment stablecoins, it doesnât address interoperability challenges between different issuers, leaving room for technological solutions.
Traditional banking faces disruption as institutions integrate both stablecoin infrastructure and AI automation.
Banks increasingly deploy âAI actors for things like FX managing effects markets effectively, not just negotiating contracts but closing them, treasury management capabilities,â creating efficiency gains impossible with legacy systems.
Nevilleâs vision extends beyond current use cases to âbrand new kinds of products that simply canât exist because the old system is too inefficient.â
Real-time dynamic microtransactions become feasible when âthe speed and the economic efficiencies are there,â potentially unlocking innovations comparable to early internet developments.
The infrastructure buildout parallels electric vehicle charging networks, requiring ecosystem-wide adoption for maximum effectiveness.
The timeline for mainstream adoption remains uncertain, echoing early internet development.
However, the fundamental transformation appears inevitable as both technological capabilities and regulatory frameworks mature.

