Vlad Tenev on Ownership, Tokenization and AI Trading

Sarah Guo welcomes Robinhood co-founder and CEO Vlad Tenev. They discuss ownership, his mathematical AI startup Harmonic, tokenized assets, prediction markets and agentic trading. Tenev describes Robinhood’s products and policy preferences from the perspective of the company that offers them.

Tenev says Robinhood operates in some form in more than 120 countries and describes its mission as ownership. In his view, owning assets can help individuals build wealth and give more people a stake in the economy. Investment outcomes and risks, however, differ across assets.

He argues that a society with broad ownership is more stable and says access to companies at earlier stages matters amid AI disruption. He connects that idea to child investment accounts, private-company funds and tokenized products, describing Robinhood’s evolution from commission-free stock trading into a broader financial platform.

Guo asks how a mathematician and former high-frequency trader arrived at this mission. Tenev recalls being born in Bulgaria near the end of the Cold War and immigrating to the United States in stages as his parents found educational and work opportunities.

He spent periods apart from each parent and lived with his grandparents while the family arranged the move. He remembers blackouts, shortages and inflation in Bulgaria. His grandfather converted earnings into copper cookware, which Tenev describes as an early example of an asset used to preserve value.

In the United States, financial insecurity and his parents’ demanding schedules encouraged independence. He recalls walking home from school, doing homework alone and being told that academic success and a scholarship would matter for college. His family also faced the uncertainty of visa status.

Tenev says mathematics appealed to his desire to tackle progressively harder problems. In graduate school, the possibility of creating a theory that might be studied for generations attracted him. Guo asks how that background connects to the recent acceleration of AI-assisted mathematics.

Tenev says models paired with verification tools are changing how mathematical work is done. He points to tools such as version control and Lean, and introduces Harmonic, the company he co-founded to pursue mathematical superintelligence. He describes its Aristotle model and examples of people using it on open problems.

He welcomes the progress but worries that discoveries could be concentrated in large AI labs with proprietary models and data centers. His preference is to put tools into the hands of individuals who can make and share discoveries themselves. Guo asks whether human–AI collaboration will remain competitive with centralized compute.

Tenev separates the role of individual mathematicians from the question of who controls the products. He considers a world where a few labs own most scientific discoveries undesirable and predicts that broader participation would be more acceptable. This is his forecast and institutional preference, not an established outcome.

He suggests that AI labs collaborate with mathematicians to make discoveries feel less centralized. The conversation then turns to how Robinhood wants to expand ownership and the mechanics of tokenizing financial assets.

Tenev compares tokenization to placing assets in custody and issuing tokens against them. In his description, tokens can move across blockchains, trade fractionally and interact with software protocols. He says similar structures can be applied to public shares, private-company interests and other assets, with differences in redemption.

He describes Robinhood’s earlier European stock-token offering and says a later version added decentralized-finance features alongside Robinhood Chain. He cites growth and developer activity as company claims and imagines developers combining stock tokens with other on-chain instruments.

Tenev argues that on-chain products could help people in markets with less developed financial infrastructure gain exposure to US assets. He acknowledges criticism that a corporate-operated chain is less decentralized, but argues that focused leadership and Robinhood-backed products can provide direction and confidence.

Asked what developers might build, he mentions smart-contract-native options while saying he does not want to predict every application. In his account, combining reliable financial building blocks could allow developers to create products that the original platform team did not anticipate.

Tenev connects prediction markets to the ability to express or monetize knowledge. He says event and company-metric contracts could give people more direct exposure to a belief than buying a stock whose price depends on many factors. He also sees market odds as a potential source of information, not a certainty about outcomes.

On agentic finance, Tenev says Robinhood has seen more than 150,000 customers open agentic trading accounts and cites roughly 30 million daily tool calls. These are company-reported adoption figures, not evidence of trading profitability or suitability.

He describes Robinhood agents as a trading-oriented interface for running strategies, rebalancing and connecting tools or external data. His ambition is to reduce the technical work needed to implement ideas that previously required sophisticated programming and trading infrastructure.

Guo asks what happens when capabilities associated with institutional traders become more accessible. Tenev expects initial activity to be concentrated among sophisticated users and then spread more broadly. He predicts more trading, while Guo notes that the desire to act on a financial belief may be widespread.

Asked about safeguards, Tenev says customers create a separate funded account for agentic trading, distinct from their main Robinhood balance. Trades require approval by default, though customers can change that setting. He describes the account and execution environment as sandboxed; separation does not remove the risk of losses in the funded account.

Tenev argues that electronic markets have long handled algorithmic and high-frequency trading, so he does not yet see a need for a fundamental overhaul. He allows that growth may expose special cases needing regulatory clarity. Guo presses the infrastructure question: a large increase in automated participants could create new load.

He says Robinhood must optimize its own databases, code and sandboxes, while market makers and exchanges already operate sophisticated low-latency systems. He expects agent-mediated trading to remain a relatively small share for a time, giving the industry warning as activity grows. This is his expectation, not a stress test.

Guo asks how individuals can share in the AI economy when many leading AI companies are private. Tenev says large private funding rounds can leave retail investors with access only after substantial growth, concentrating potential gains among venture funds and institutions.

He contrasts this with crypto, where he believes broad early individual ownership helped create a politically engaged constituency. He also acknowledges that crypto prices fall and that many people have lost money. His account of the political effects is an interpretation.

Tenev describes Robinhood Ventures as a way for retail investors to obtain exposure to private companies through publicly traded funds. He says one fund focuses on later-stage holdings and another is designed to reach earlier stages, where he acknowledges that risk is higher as well as potential opportunity.

He also describes a long-term vision for tokenized private-company interests that could trade fractionally and more continuously. He says current offerings and regulatory constraints differ by jurisdiction, and argues for changes to US accredited-investor rules. Tokenized interests can have different rights and redemption terms from direct shares.

Guo asks about the case for investor protection and fraud prevention. Tenev supports clearer information and some regulation but argues that individuals should have more freedom to decide what to do with their money. His policy view should be read alongside the risks of illiquidity, valuation uncertainty and loss in private investments.

Tenev describes Robinhood’s role in the Trump accounts program and its work with BNY and federal agencies. He presents the program as a way for children to hold diversified US market investments and says he hopes it will broaden household ownership. Specific eligibility and implementation are matters for the program’s official rules.

Guo asks how he remains steady through market and business challenges. Tenev says his family’s immigration experience, financial uncertainty and early independence gave him perspective. He also wonders how to provide appropriate challenges for his own children while recognizing the security and opportunities they enjoy.

For other leaders, he offers an optimistic interpretation: challenges can help build resilience. He says people cannot control the outside world but can work on their response to it. Guo thanks him and closes the conversation.