The AI-Native Commerce Future
The data-driven case for building commerce systems designed for AI agents from day one — and why retrofitting existing platforms is a trillion-dollar dead end.
Deep dives into AI commerce, protocol standards, and building technology for human happiness.
The data-driven case for building commerce systems designed for AI agents from day one — and why retrofitting existing platforms is a trillion-dollar dead end.
Why identity, authorization, and execution must remain separate layers in AI commerce — and what the readiness data actually says about each one.
AP2 and ACP are not competing standards — they serve different trust models. Here is why supporting both is an architectural requirement, not a hedge.
Why building commerce for AI agents from day one creates better outcomes for humans than retrofitting existing systems.
In an age of AI agents, trust cannot be assumed—it must be proven. Here's why cryptographic trust infrastructure is the foundation of safe AI commerce.
Market analysis and projections for AI agent commerce, including adoption curves, infrastructure requirements, and competitive landscape.