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AI ads are taking over NYC subways. Spotted over the last few weeks: - @LangChain - @braintrust - @genspark_ai - @extendAI - @traversal_ai - @cognition - @GetArtisanAI - @AirOpsHQ
AI has left the engineering org. 💊 A real playbook for bringing AI to every team, GTM, marketing, post-sales, and beyond, has started to take shape. Come hear from: > @vercel > @cursor_ai > @Chime + more Spots are limited and filling up fast! ↓
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AI is chronically under-leveraged in Crypto atm I give it <24 months before every protocol has an AI feature embedded in-app I think the reason why adoption is slow along existing apps is because there needs to be a philosophy shift Ppl haven’t adjusted to the new norm yet
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AI Still Can't Beat the On-Call Engineer: Here's Why
AI infrastructure is scaling globally. Hyperscalers (Microsoft, Amazon, Google, Meta and others) are on track for roughly $765 billion in annual AI-related CapEx in 2026 alone, with cumulative AI data center capital expenditures projected to reach $5.2 trillion by 2030 in the base case (and up to $7.9 trillion in accelerated scenarios), according to McKinsey (March 2026). The global AI data center market itself is expected to grow from $147 billion in 2025 to $811 billion by 2033 at a CAGR of 23.9%, per Grand View Research. Meanwhile, global data center electricity consumption hit ~485 TWh in 2025 (up 17% YoY) and is projected to roughly double to ~950 TWh by 2030, with AI-focused facilities growing even faster (IEA, April 2026 report). The financial layer around it is still early. Despite these trillions in required capital, the entire tokenized Real World Assets (RWA) market (excluding stablecoins) stands at only ~$30–37.5 billion as of May 2026 — still tiny relative to the physical buildout and overwhelmingly dominated by traditional assets like Treasuries and private credit rather than AI compute, energy, or data centers ( and market reports, May 2026). As more compute, energy, and data infrastructure come online, new models for access, coordination, and capital formation may emerge on-chain. Rax Finance is exploring this direction by building a full-stack on-chain registry, metering, and settlement layer that tokenizes GPU capacity, data center power, and energy resources into verifiable, insured, yield-bearing RWAs — turning physical AI infrastructure into globally accessible, programmable assets. What are your thoughts on the future of AI infrastructure RWAs, Rax Fam? Would love to hear your ideas below 👇
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AI agents are becoming economic actors. The real labor question is not adaptation, it is ownership. If data contributors cannot claim, track, and monetize their contribution, AI productivity becomes value extraction.
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AI Agents are evolving from assistants into autonomous on-chain actors. On May 24, OpenBuild and Mantle will host the Mantle Turing Test Hackathon 2026 Meetup in Shanghai, bringing together AI builders, Web3 developers, and creators exploring the future of Agentic AI × Web3. @Mantle_Official @0xMantle @0xMantleCN 💰 $120,000 prize pool ⚡ AI Trading, RWA, DevTools, Agentic Wallets, and more 🤝 Team matching and project networking This is not just a hackathon. It is an experiment in autonomous AI on-chain. 🗓 May 24, 2026 📍 Shanghai 🔗 #Mantle# #AI# #Web3# #Hackathon# #OpenBuild# #Shanghai# #Layer2# #ZK# #DeFi# #RWA#
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AI-related layoffs a boost for stocks? Not necessarily
AI advances are breaking into the physical world - and robots will soon learn how to do your washing and ironing