RAX Finance (@RaxFinance)
@RaxFinance
The Full-Stack RWA Layer for AI Infrastructure — Turning AI Compute and Energy into on-Chain Yield // Backed by @HashKey_Capital and @FBGCapital
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430,000+ transactions on the BSC Mainnet 🔥
The momentum keeps building:
To celebrate this milestone, the Rax team is giving away at least 50 extra Unboxing Opportunities
Want a “Congratulations” reply from us? 👀
Drop your EVM address and a screenshot of your Waitlist dashboard in the comments below 👇
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Institutions aren’t dabbling anymore.
They’re rewriting the rules of capital markets in real time.
Banks, asset managers, and the biggest players are all-in on tokenization — turning it from experiment into the new standard.
The same forces now point straight at the AI economy.
The physical infrastructure powering intelligence — compute clusters, GPUs, energy assets, and data centers — is next in line to become liquid, transparent, onchain RWAs that actually generate yield.
@RaxFinance is building exactly that layer: full-stack RWA infrastructure purpose-built for AI.
The intelligence age needs its own financial rails. They’re being laid right now.
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What could accelerate AI infrastructure RWAs the fastest? 👀
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.
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Tokenization and the Future of U.S. Capital Markets
The way investors access public markets is being rebuilt. Tokenization, once a fringe idea, is becoming core infrastructure, and the implications run well beyond crypto.
Ondo has been building toward this future for years. We launched one of the first and most widely held tokenized Treasury products, and today we bring stocks and ETFs onchain at meaningful scale. Along the way, our goal has been the same: make the financial system more accessible, more efficient, and more useful to the investors it exists to serve.
One of the great strengths of U.S. capital markets is the range of ways investors can gain exposure to the same underlying asset: direct ownership, funds, ETFs, derivatives, structured products. Tokenization is a natural extension of that tradition. Different forms, including “native” and “wrapped”, each have a role to play, and each can expand investor choice without compromising the protections that make these markets trusted in the first place.
For U.S. policymakers, the question to ask of any new development remains: does it serve investors, promote market integrity, and strengthen the U.S. position as the financial capital of the world? We’re optimistic about where this is heading, and ready to keep building.
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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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