According to a recent LinkedIn post from Interlace, the company is drawing a distinction between traditional card-based payments and what it describes as an emerging “Agent Economy” driven by AI agents. The post suggests that while Visa, Mastercard, Stripe and similar rails can support AI performing human-like checkout tasks, they are not optimized for autonomous, machine-to-machine commerce.
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The company’s post argues that current digital infrastructure is priced and structured for human procurement, such as monthly SaaS subscriptions or bulk API packages. It contends that AI agents instead require real-time, programmable micro-transactions to access APIs, datasets, compute and other machine services without manual approvals.
As shared in the post, Interlace positions stablecoins as a foundational layer for this agentic commerce, contrasting them with traditional cards that primarily address checkout flows. The post indicates that consumer-facing payments may remain dominated by card networks, while the underlying machine-to-machine economy could migrate toward stablecoin-based protocols.
For investors, the thesis points to a potential growth segment at the intersection of AI agents, Web3 infrastructure and fintech. If machine-driven micro-payments gain traction, companies enabling stablecoin-based transaction protocols for AI workloads could benefit from new volume and fee pools, though regulatory, adoption and interoperability risks remain material.
The emphasis on “Agent Economy” and “Agentic Commerce” suggests Interlace is aligning itself with early-stage infrastructure for autonomous AI spending and resource allocation. This positioning may signal a strategic focus on enabling high-frequency, low-value transactions that are not well served by legacy payments, potentially differentiating the firm within the broader stablecoin and Web3 ecosystem.

