Unchained
August 22, 2025

Robinhood’s Vlad Tenev Claps Back: From Memecoins to Real Assets – The Chopping Block

Vlad Tenev, founder and CEO of Robinhood, unpacks his master plan to merge traditional finance and crypto. He explains the strategy behind Robinhood Chain, the controversial move to tokenize private assets, and why giving retail a stake in the next OpenAI is non-negotiable.

The On-Chain TradFi Bridge

  • "I think where Robinhood's advantage is is in being the place where traditional finance and crypto merge and meet. When we look at the chain, the thesis is really, can we make this the best chain for real-world assets?"
  • Robinhood is strategically positioning itself as the nexus between Wall Street and crypto. Instead of building a Layer 1 from scratch, they opted for a Layer 2 to leverage existing infrastructure (from Arbitrum developers Offchain Labs) for faster deployment and interoperability. The goal isn’t to build the next "chain for degens," but to create the premier platform for tokenized real-world assets (RWAs), starting with the stocks and other financial products already available on their platform.

Permissionless Private Markets

  • "It's looking like retail might not have access to them until they hit the public markets at valuations in the hundreds of billions or maybe even trillions. So, I think there's a big risk if we don't solve this problem."
  • "I think it's important for the tokenization mechanism to work well without necessarily the opt-in of the company."
  • Robinhood's most audacious play is tokenizing equity in private market giants like OpenAI and SpaceX, demonstrating a model that doesn’t require the company's direct permission. By acquiring exposure through vehicles like SPVs, Robinhood can mint tokens representing ownership, tackling the historical problem of retail being shut out of wealth creation until a company's hyper-growth phase is over. Tenev argues that giving people a stake in transformative technologies like AI aligns societal interests with progress.

Memecoins vs. Masterpieces

  • "We are now in a world where you can invest in a memecoin to your heart's content, but OpenAI and SpaceX are deemed too risky, which I think is just a bizarre, perhaps unintended outcome."
  • Tenev launches a sharp critique of the current regulatory landscape, highlighting the absurdity of a system that allows unfettered speculation on memecoins while "protecting" investors from owning shares in the world’s most innovative private companies. He views this not as a deliberate design but as an incidental result of outdated, pre-internet rules that have made going public more difficult. Robinhood's strategy is a direct challenge to this paradigm, aiming to collapse the artificial barrier between public and private investments.

Key Takeaways:

  • Robinhood isn't just adding a crypto feature; it's using crypto rails to fundamentally rewire access to all high-value assets. This strategy represents a direct assault on the decades-old regulatory wall separating public and private markets.
  • Private Markets Are the New Public: The real unlock for tokenization isn't just 24/7 stock trading—it's bringing high-growth private companies to retail investors, with or without the company's blessing.
  • The Great Convergence Is Here: The line between a crypto exchange and a stock brokerage is disappearing. Robinhood and its competitors are converging on a single "financial super app" model where all assets live in one place.
  • Regulation Has Created a Paradox: The current system allows unlimited speculation on assets with zero fundamental value (memecoins) but blocks access to premier private equity. Robinhood is betting this logic won't hold.

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This episode reveals how Robinhood plans to collapse the distinction between public and private markets by tokenizing real-world assets, forcing a collision between crypto's permissionless ethos and traditional finance's walled gardens.

Why Robinhood Chose a Layer 2 for its On-Chain Ambitions

  • Vlad Tenev begins by explaining the decision to build Robinhood Chain as a Layer 2 (L2)—a blockchain built on top of a base layer like Ethereum to improve scalability and reduce costs. He frames the choice as being a "tenant" within an established ecosystem rather than an "owner" of a new Layer 1. By leveraging Arbitrum's technology, Robinhood can accelerate development and tap into existing infrastructure, prioritizing speed to market over building everything from the ground up.
  • This pragmatic approach contrasts with other financial players like Circle and Stripe, who are reportedly building their own Layer 1 blockchains.
  • Vlad emphasizes that this strategy allows Robinhood to control the end-to-end user experience, from smart contracts to sequencer mechanics, while benefiting from the interoperability of the Ethereum ecosystem.

Quote: "The decision is really about being an owner versus a tenant. And we thought that having our own chain ultimately gave us control over all the details end to end."

Strategic Implication: For investors, this signals a focus on user experience and rapid deployment. Robinhood is leveraging existing crypto infrastructure rather than competing with it, suggesting a strategy centered on application-layer dominance.

Becoming the Premier Chain for Real-World Assets

  • Vlad outlines the long-term vision for Robinhood Chain, positioning it not as another platform for "degens" but as the primary hub where traditional finance and crypto merge. The core thesis is to become the best chain for Real-World Assets (RWAs), starting with tokenized US stocks and eventually expanding to any asset available on Robinhood.
  • The initial focus will be on distributing these tokenized assets to users outside the United States, where access to US equities is more challenging.
  • This vision directly challenges the crowded landscape of chains built for speculative trading, aiming instead for tangible, utility-driven use cases.

Strategic Implication: The focus on RWAs for a global audience represents a massive addressable market. Researchers should monitor how Robinhood navigates the complex international regulatory landscape to deliver these products at scale.

Permissionless Tokenization: The OpenAI and SpaceX Controversy

  • The discussion addresses Robinhood's demonstration of tokenizing private company shares, including OpenAI and SpaceX, which prompted a public denial from OpenAI. Vlad clarifies this is possible by gaining indirect exposure through an SPV (Special Purpose Vehicle)—a legal entity created to hold specific investments—and then tokenizing that ownership interest.
  • This structure allows Robinhood to create tradable on-chain assets without the direct consent of the underlying company.
  • This "permissionless" approach highlights the disruptive potential of tokenization, enabling liquidity for assets that are traditionally locked up.
  • Steve from Dragonfly points out that this capability to tokenize any financial asset, regardless of the issuer's awareness, is a core feature of the structure.

Strategic Implication: This adversarial approach to tokenizing private equity is a high-risk, high-reward strategy. Investors should watch for potential legal and reputational battles as private companies may resist having their shares traded on open, liquid markets.

The Inevitable Tug-of-War with Private Companies

  • Vlad argues that for tokenization to succeed, it must work without requiring companies to opt-in, as many private firms prefer the opacity and illiquidity of private markets to avoid the daily pressure of a public stock price. He notes that while some companies see the value of a retail shareholder base, others, like Anthropic, are actively restricting access even for accredited investors via SPVs.
  • The conversation highlights the fundamental conflict between companies wanting control and the market's demand for liquidity.
  • The discussion touches on the "adverse selection" problem, where typically only companies with fewer funding options are willing to offer shares to retail investors.
  • Vlad believes that employees and early investors should have more freedom to sell their shares, creating a secondary market that companies cannot easily control.

Strategic Implication: The success of tokenized private assets hinges on navigating this conflict. The key battleground will be the contractual rights of early employees and investors to sell their shares, which could unlock significant liquidity.

A Global-First Strategy for Tokenized Assets

  • Vlad explains that the initial rollout of these tokenized assets will be focused outside the US due to the restrictive regulatory environment. He draws a parallel to stablecoins, which found their primary product-market fit as a delivery mechanism for US dollars in international markets.
  • Robinhood plans to use KYC (Know Your Customer) and geofencing to make the assets on its permissionless chain accessible based on regional regulations.
  • He predicts that while adoption in the US may be slower due to robust existing capital markets, tokenized versions will become the leading vehicle for accessing US assets abroad.

Strategic Implication: This ex-US focus is a critical go-to-market strategy. Investors should analyze the regulatory maturity in key international markets (e.g., Europe, Asia) to predict adoption rates for tokenized US equities.

Disrupting the Gatekeepers: DTCC and Transfer Agents

  • Tarun from Gauntlet raises the question of what happens to traditional financial intermediaries like the DTCC (Depository Trust & Clearing Corporation) and transfer agents in a world dominated by tokenized assets. Vlad predicts a hybrid model where traditional custodians still hold the underlying assets, similar to an ETF or ADR structure.
  • The primary value of the tokenized versions will initially be 24/7 trading availability when traditional markets are closed.
  • This suggests an evolution, not an immediate replacement, of TradFi infrastructure.
  • The initial value proposition is clear: extending market hours to weekends and holidays, with deeper integration to follow.

Strategic Implication: The most immediate impact for investors is the extension of trading hours and the potential for new arbitrage opportunities between on-chain and off-chain markets.

Robinhood's Crypto-Driven Evolution

  • The conversation explores Robinhood's transformation, with crypto now accounting for a significant portion of its revenue. Vlad sees this as a natural evolution toward a financial super app where the lines between crypto and TradFi blur.
  • He argues that as tokenization becomes widespread, crypto will function as an invisible infrastructure layer, delivering traditional assets in a more efficient, global, and accessible way.

Quote: "We are now in a world where you can invest in a memecoin to your heart's content, but OpenAI and SpaceX are deemed too risky, which I think is just a bizarre... outcome."

Strategic Implication: Robinhood's strategy highlights a key investment thesis: the most successful financial platforms of the future will seamlessly integrate both crypto and traditional assets. The distinction will become increasingly irrelevant to the end-user.

The Missing Link: Connecting Crypto to the Real World

  • When asked for feedback on the crypto industry, Vlad identifies the disconnect between the crypto world and the traditional financial system as the biggest missing piece. Rather than waiting for others to solve it, he positions Robinhood as being "in the arena" building those bridges.
  • Looking ahead, he points to the intersection of AI and crypto as a major frontier, questioning how autonomous AI agents will transact with each other and whether crypto will become the native currency for this "agentic commerce."

Strategic Implication: For researchers and builders, this is a clear call to action. The next wave of innovation lies in creating practical, scalable bridges between on-chain and off-chain systems and exploring crypto's role in the emerging AI economy.

Harmonic: Using AI for Mathematical Superintelligence

  • Vlad discusses his separate venture, Harmonic, which is building an AI foundation model for mathematical reasoning. The model, Aristotle, recently achieved a gold-medal level performance on the International Mathematical Olympiad by generating formal proofs using a theorem prover called Lean.
  • A theorem prover is a software tool that assists in the development of formal proofs by human-machine collaboration. The goal is to create "mathematical superintelligence" capable of verifying the correctness of complex systems like software code and smart contracts.

Strategic Implication: This is a direct look into the future of AI and its application in high-stakes environments. For AI researchers, the development of models capable of formal verification is a critical step toward building more reliable and secure autonomous systems.

Securing Smart Contracts with AI-Driven Audits

  • Vlad connects Harmonic's work directly to crypto, highlighting smart contract verification as a key application. Formal verification—the act of proving the correctness of a system with respect to a formal specification using mathematical methods—could automate and dramatically improve the security of DeFi protocols.
  • This technology could replace the expensive and time-consuming manual auditing process, preventing catastrophic exploits by mathematically proving a contract's integrity.
  • He identifies financial services, healthcare, and aerospace as industries ripe for this technology due to the severe consequences of software failure.

Strategic Implication: The convergence of AI and formal verification represents a paradigm shift for blockchain security. Investors should track companies developing these tools, as they could become essential infrastructure for the entire crypto ecosystem, reducing systemic risk.

Conclusion

This discussion reveals a future where tokenization erodes the walls between public and private assets, with crypto serving as the underlying settlement layer. Investors and researchers must monitor the regulatory evolution of tokenized securities and the advancement of AI-driven formal verification, as these trends will define the next generation of financial markets.

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