3 ч. назад
People starting to realize that x402 is not so useful right now because most Crypto AI agents are useless In order for the AI agents to be useful, we need to make them solve real problems, we need tailored AI workflows and products that actually increase productivity & reduce costs for enterprise & retail users. a16z analyzed startup spending across ~200,000 startup customers, and identified ~50 AI apps/agents in their latest AI Application Spending Report (excluding GPUs, cloud, hyperscalers) - 60% of the apps are horizontal — tools that can be used across many roles/functions - 40% are vertical — domain-specific or role-specific tools - General LLMs like OpenAI, Anthropic, Perplexity dominated horizontal - Meeting tools (OtterAI), creative tools (ElevenLabs, Canva, Midjourney), and vibe-coding tools (Replit, Cursor, Lovable) are becoming enterprise-relevant - Vertical apps often serve as augmentors helping human workers improve their productivity, few are substitutes (completely replacing human) - Customer support agents (Lorikeet), Sales/GTM workflows (Instantly), HR/recruiting workflows (Micro1), operations & compliance workflows (Delve, Combinely) are dominating the vertical front. - Vertical workflows: these are agents that basically act almost like human within their respective role, working 24/7 — AI agents that resolve tickets, chat with customers, integrate with knowledge base/CRM or AI agents that cold call, reach out to potential leads, analyze sales, and improve the user funnel What about Crypto AI? As for Crypto AI apps/agents (excluding decentralized compute & inference infra providers), most are netting in 6-7 figs ARR. The only segment that makes 8 figs rev is launchpad category whose rev is generated from trading vol (prioritizing hype & speculation) If we were to follow the path to full agentic economy starting with x402 as the payment rail, we need all the right infra to answer these questions: - Before we pay them, how can we trust these AI apps/agents? - What should be the work contract, what's the scope of work, what's the KPIs, how do we know if work is done properly, if it's done poorly, can we initiate the refund? - If work is done well, can we tell other people/agents about this? reputation registry, linkedin/trust score for agents that everyone can verify - How do we make sure agents don't hallucinate? How do we make sure they don't get hacked, exploited, prompt injected? At the end of the day, simply handing money to agents so they can pay to other agents for microservices is not it. Agentic economy requires us to answer all the above questions and more. Back to talking about useful, quality services in Crypto AI that people would pay for. Are there any? It's mostly niche af. Most I'd just use for free instead of paying for it. The fun part is identifying these & investing in them early. How I see this 10x plays will come from Crypto AI teams that's good at marketing 100x plays will come from Crypto AI teams whose product is useful for Crypto-native enterprises & retail 1000x plays will come from Crypto AI teams with product that people outside of Crypto would use Sharing some more thoughts later this week.
12 ч. назад
x402 Thesis x402 acts as the payment rails for microservices — yes... this is only the rail that enables to seamlessly pay other agents using stablecoins In order to have a full agentic economy, you need auxiliary infrastructure, quality services, and trust/verifiability layer for the agents to understand who they can trust for the services. You also need an entire commerce layer designed for pay-per-use, per-result, per-second which requires - Tracking what work was done - Calculates how much it costs - Settle it instantly - Make sure the agents who pay get the results - Attribute the high quality result to the right agents and - Establishes the history of work/quality of services for the agents @Nevermined_ai is building the atomic commerce layer for AI agents (focusing on billing infra — Paypal for AI) @virtuals_io is building ACP starting with Virtuals agents (focusing on agent registry, evaluation of work between agents, reputation) @ethereum is establishing Ethereum as the trust & settlement layer with ERC-8004 @eigenlayer is building verifiability stack with EigenAI to make AI agents inference verifiable and non-deterministic (mitigate hallucinations) On top of these infra, we need > Facilitators: helping offload blockchain-related heavy tasks (gas fees, wallet management, execution, settlement) for service sellers and customers > Specialized agents/quality service providers: Know how to offer good services > Orchestrators: Know which specialized agents are good for the job, and know what needs to be done > Middleware: SDKs, APIs, and toolkits that enable developers to easily plug x402 into apps/agents without custom code. a16z latest report forecasted $30T in TAM for the agentic economy. This is quite a far away future where we need these modular infrastructure to fall into place. Which part of the stack accrues the most value? Short-term — orchestrators which act as the front-end GPT interface or workflow builders + highly-specialized AI agents who're really good for their job The best crypto AI use cases that we've seen fall into 3 categories (i) Trading (ii) Prediction (iii) Defi Given the surge in hype & adoption for x402, leaders within these 3 categories will be able to 10x their users and revenue once the stack is built out. In a similar fashion to human users using launchpads (like Pumpfun) as the front end to ape into tokens, Orchestrators will act as the front end aggregating and orchestrating high quality/high demand services to users (getting a piece of the cut along the way). How does this tie in with Crypto AI Agents? Although it's going to take a while for x402 stack to get built out, the AI agent narrative is back — AI agent ecosystem leaders are recovering their losses and smaller AI agent plays are rebounding 200-1000%+ during the past week. Similar to the previous run, this run up is mostly fueled by speculation from the x402 memecoin trench side of things. Most of these agent plays won't be able to sustain its gains. Only some whose products are fleshed out or close to commercialization stage will survive. Might do a dedicated article on the State of AI agent Q4/2025 soon to share the change I've observed in the market since the last AI agent run in Q1/2025 In the mean time, if you're looking to learn more about x402, check the After Hour EP.26 out. Link in my bio. Anyway, thanks for checking this out. Super glad people care about Crypto AI again lol.
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