Full-Stack AI Economies: Comparing NEAR, MultiversX, Virtuals and ASI If AI agents are a trillion-dollar economy by 2030, then whoever owns compute + payments + coordination today is massively underpriced. I’ve been mapping the Full-stack AI economy thesis this month, after that I think most people still misunderstand the game. AI-native blockchains are evolving from single-purpose platforms into complete economic systems, stacking compute, payments, agent marketplaces, and coordination layers to enable autonomous agent activity. So I put them in my framework, a real AI economy needs 4 layers: [1] Compute sovereignty - where agents actually run. [2] Native payments - how agents pay each other. [3] Marketplace liquidity - where agents monetize. [4] Coordination layer - how everything scales without friction. Among the leaders, @NEARProtocol and @ASI_Alliance offer the most mature full stacks, with dedicated decentralized compute and agent runtimes tailored for agentic workflows. @virtuals_io dominates agent tokenization and marketplaces but leans on external compute, while @MultiversX excels in agentic commerce standards via Google's Universal Commerce Protocol integrations. Here’s I’ll share the details insights on each protocol, I also rank them consecutively: 1/ $NEAR – The Most Complete Stack I’ll say it directly, I think NEAR is currently the most complete AI economy stack. → Compute - They launched confidential GPU infra + AI runtime. TEE-secured workloads, enterprise narrative, sub-30s attestations. That matters because agent economies without secure compute are just token casinos. ...