The following is a guest post and opinion from Bobby Shell, Board of Directors & VP of Marketing at Voltage.
Here is why the correct infrastructure stack matters, how it is already taking shape, and why market leaders should act now to position their organizations for the future of money.
They’re siloed, slow to adapt, and exclude those who rely on decentralized assets like Bitcoin. These systems will never serve the edges of innovation—where creators, startups, and AI-native businesses are building the future—or those who measure value in Bitcoin’s sound money.
This is where open rails emerge as the disruptive alternative.
There are a few steps to an AI-ready payment stack:
This stack redefines AI commerce: machines transact autonomously, humans collaborate seamlessly, and value flows instantly at scale—no banks, no friction.
Modern platforms like OpenAI’s GPT and LangChain frameworks make it possible to construct “agent loops” or workflows where the AI system autonomously interacts with external tools, APIs, and services. These agents often call external services, requiring payment for each action. For example, an AI writing assistant might fetch grammar checks from a third-party service, or a travel-planning bot might book a rental car.
AI operations demand automated, precise, and instant payments—yet traditional billing falters, plagued by manual delays, fee-heavy per-use models, upfront commitments, and non-programmable fiat rails reliant on intermediaries.
Stablecoins bypass cryptocurrency’s volatility, settle transactions instantly without delays, and enable seamless programmatic issuance, spending, and auditing—eliminating the need for manual reconciliation.
When AI is given access to capital, especially in the form of per-use, permissioned payments, it finds the best solution at the lowest cost in the shortest amount of time. This pay-per-action model reduces overhead and minimizes waste, giving open system AI agents a competitive advantage.
The result? Faster decisions, transparent spending, and measurable outcomes—exactly what businesses want from any operational layer.
Using the L402 protocol, an AI agent could query a specialized AI for market analysis data, paying a small fee in satoshis or stablecoins via Lightning. The L402 protocol authenticates and meters these payments, ensuring secure, instant transactions.
These use cases are still nascent but show immense potential as AI and Bitcoin converge.
While Visa and Mastercard are building AI-powered payment networks, they remain closed, permissioned systems. By contrast, Lightning is live, open, and proven—used by some of the biggest names in the industry.
The Lightning Network’s liquidity model, which requires pre-funding, could pose potential challenges to its adoption as the primary rails for AI-driven payments, particularly in high-volume, autonomous systems. If Lightning channels lack sufficient liquidity, payments exceeding a channel’s balance could fail or require complex routing through multiple nodes. Even small liquidity gaps could force payments to take convoluted routes across multiple nodes, increasing fees and latency.
For an AI agent to send payments autonomously, it must pre-fund Lightning channels with sufficient liquidity. This requires upfront capital (in BTC or stablecoins) and technical expertise to manage channels—a barrier for small-scale AI projects or those without dedicated DevOps teams. Without easy on-ramps or liquidity pools, adoption could stagnate.
This type of obstacle highlights the demand for companies to offer services that fill these gaps to ensure a smooth experience. Fortunately, the industry is full of passionate builders dead set on this very thing.
In the end, the rise of AI agents demands a new kind of financial infrastructure—one that is open, scalable, secure, and permissionless. In the AI-powered economy, speed, trust, and programmability will separate winners from laggards. Those who build on open, instant payment rails today won’t just participate in the future of money—they’ll define it.
