Bart

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. → Payments - NEAR Intents + x402 integration. Cross-chain execution + revenue-sharing + fee switch with buybacks already live. → Agents Layer - ironClaw runtime + chain abstraction across 35+ chains. This is execution infra, not just marketplace UI. → Coordination - Nightshade + chain abstraction = scalable coordination. If agent traffic explodes, infra won’t choke. Market cap ~$1.6B with strongest volume profile among the 4. I believe $NEAR looks like it wants to be AWS + Stripe + Shopify for AI agents. 2/ $ASI Alliance - The AGI Maximalist Bet When ASI Alliance merged @Fetch_ai , @SingularityNET, and @oceanprotocol , I was skeptical, but strategically It makes sense. They combine agents, model marketplace, data marketplace, decentralized compute. ICYMI, this is an AGI infra bet. Mcap is ~$347M → much smaller than $NEAR and liquidity is thinner. However what stands out to me is conceptual alignment: data + models + compute + tokenized coordination. If AI agents require composable intelligence markets, $ASI could become the clearinghouse. The upside is ideological dominance if AI-native infra wins, eventually i think this is the long-volatility bet. 3/ $VIRTUAL - The Agent Tokenization King Virtuals Protocol does financializes agents extremely well. - ~$488M mcap. - $100M trading volume relative to cap daily. - Thousands of tokenized agents. - aGDP framework tracking agent output. From my perspective as someone who watches liquidity closely, Virtuals understands speculation is fuel deeply. That’s why they turned agents into tradable, ownable assets with measurable economic identity. If compute becomes vertically integrated by chains like NEAR or ASI, margins compress for marketplace-only models. I see it as the Nasdaq for AI agents still very valuable. 4/ $EGLD - The Commerce Standards Play MultiversX is underrated in this conversation, they focus on agentic commerce standards. UCP, ACP, AP2, MCP → all commerce-native stack with gasless transactions and HTTP-native integration. They push AI-native commerce rails even though the volume is lowest among the 4 so does the mcap ~$124M. But if AI agents start doing real commerce such as subscriptions, APIs, autonomous purchasing, standards matter more than hype. MultiversX feels like it’s building ISO standards for AI commerce while others fight over infra dominance. My takeaways: after surviving multiple cycles from GameFi, NFTs, airdrops, modular, restaking… I’ve learned that narratives are shortterm but economic architecture is longterm. i think these 4 are building sovereign economic systems for autonomous agents. that matters more than chasing hyped or flipping shortterm gains, market has matured so much that ppl realize they now want to invest in infra like this.