The agentic economy has a quiet assumption baked into it: that machines will happily run on infrastructure humans fully control.
They won't. Not the serious ones.
The first truly autonomous agent will want a chain of its own. We're building for that day 🌿
🌿 The future of Web3 is not just about owning assets, it’s about owning the infrastructure behind them.
@CNPYNetwork is building a world where communities can create, customize, and control their own blockchain ecosystems.
True ownership starts with having your own network.
Help tell Canopy's story - and get rewarded for it 🌿
Our new Creator Leaderboard is LIVE on @NucleusCodes, with $100,000 in CNPY allocated for the top 300 contributors.
Sign in with X and check your eligibility ↓
https://t.co/d0DcG8TtPI
Every app is one platform decision away from irrelevance.
A fee change. A policy update. A governance vote you didn't see coming.
Unless the platform is yours 🌿
A smart contract gives you a slot on someone else's chain.
A Canopy chain gives you the chain itself
🌿 Your block space
🌿 Your fees
🌿 Your token
🌿 Your rules
And on Canopy, it stays yours permanently.
🟣 Overlayer ORIGIN is live.
Phase 0 of our journey to mainnet.
Be early or watch others farm it.
Daily tasks, leaderboard, OG NFTs.
100% free. No real ETH, no gas costs.
👉 https://t.co/tkLGC00rYY
🚀 DGrid AI's Genesis initiative crossed $20M in revenue!
In a market flooded with AI x Crypto vaporware, DGrid is shipping real products with real users — and every dollar is verifiable on-chain via a public BNB Chain Safe treasury wallet. 💰
Here's the product matrix that's driving it:
🔸AI Gateway — Unified API that routes tasks to the best model based on cost & performance history. Access top models like Claude, GPT & Gemini at 55% discount.
🔸AI Arena — 300K+ participants blind-evaluating models, generating premium training data.
🔸DClaw Deployment — Deploy personal AI assistants locally in minutes.
🔸Decentralized Marketplace — List, price & tokenize specialized AI models (coming soon).
AI needs distribution. Crypto needs utility. DGrid builds the bridge.
Keep an eye on this one 👀
https://t.co/2MJIX4yqut
#DGrid #AI #Crypto
@CNPYNetwork makes Web3 feel simple. No complicated steps, no steep learning curve just a smooth and user-friendly experience that helps anyone get started quickly. Making blockchain more accessible is exactly what the industry needs. #CNPYNetwork#Web3#Blockchain
Xeffy Ecosystem: @Pixie_Pocket_
Introducing Xeffy Pixie Pocket
Pixie Pocket is the Strategic Reserve Trust that strategically manages token burns and treasury operations for the sustainable growth of the Xeffy ecosystem
Moving forward, a portion of the revenue generated from Xeffy’s core products will be transferred to Pixie Pocket, after which token burns will be implemented!
Stay tuned!
Here’s the shift nobody can ignore anymore:
Tokenization is quietly becoming the default infrastructure of U.S. capital markets. Stocks, ETFs, and Treasuries are moving onchain at real scale — and @OndoFinance just laid out exactly how it’s happening.
This isn’t theory. It’s the new operating system for TradFi.
Now apply that same transformation to the AI economy.
The physical backbone — compute clusters, GPUs, energy assets, and data centers — is ready to be turned into transparent, liquid, yield-generating RWAs.
@RaxFinance is already building the dedicated layer that makes this possible.
The infrastructure layer for the intelligence age is being written today.
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 (https://t.co/tiuaiI1NI9 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 👇