Robinhood CEO Vlad Tenev on Ownership, Tokenization and AI-Driven Trading

The episode opens with a description of prediction markets as a kind of news. Their odds show what is happening and what is likely to happen in the future. Tenev then asked what Robinhood is today, said that if he had to sum up the company in one word or idea, it would be ownership.

He said Robinhood is live in some form in over 120 countries, and argued that ownership matters at both individual and collective levels. For individuals, owning assets is a traditional route to financial freedom and wealth-building. For society, he said that one without broad ownership is inherently unstable, because people who own things become more invested in the outcome and become defenders of the system.

Tenev described Robinhood's evolution from a zero-commission stock app into a financial conglomerate that lets customers own assets across many asset classes. He tied several initiatives to the ownership theme, including Trump accounts, which he framed as ownership from birth, and Robinhood Ventures, which aims to give individuals ownership of private companies before they go public.

He also said tokenization can be thought of as ownership going global, and raised the question of how to reach people outside the US, including people in more than 120 countries who sometimes do not have functioning banking.

Tenev said he was born in Eastern Europe in the late 1980s, around the collapse of the Soviet Union. His father went to the University of Delaware for a master's degree, and Tenev followed about six months after his mother, who came about a year after his father. He said he did not see his father for about a year and a half, or his mother for about six months, while he lived with his grandparents, because the family did not have enough money to send everyone at once.

He described Bulgaria's inflation in 1991 as roughly 170%, with rolling blackouts and queues for milk and eggs. He said Bulgaria had the highest inflation rate in the world after he moved in 1997, at about 2,000% annualized. His grandparents kept their assets in copper cookware, which he called the first real-world asset he saw people invest in.

As a child, Tenev often walked home from school alone and eventually had his own key, which led to him letting himself in, doing homework and playing outside. He said he became very independent early.

He also described steady pressure to succeed academically. Teachers encouraged his advanced math work and suggested skipping grades. His parents told him the family's finances were insecure and that they were visa holders, so he would need a scholarship to go to college.

Tenev described math as having a ladder of achievement. He compared it to a video game in which you always know what the next hardest challenge is, and asked how quickly one could learn advanced areas such as algebraic geometry or algebraic topology.

He said what appealed to him in graduate school was the idea that creating a new mathematical theory could mean being remembered for a very long time, and noted that students still learn the work of figures such as Gauss and Riemann.

Tenev said he co-founded Harmonic a couple of years ago to build mathematical superintelligence. He said mathematics as a field barely changed for thousands of years, and that when he was in graduate school most work was still done in person with chalk and chalkboards. He said math has now converged with coding, with mathematicians using version control and Lean for verification, and that the field is accelerating rapidly.

He said Harmonic's model, Aristotle, was one of three AI systems to win a gold medal at the International Math Olympiad last year. After public release, people used it on unsolved problems, and other mathematicians used it to produce new results.

Tenev said he does not like that the latest wave of AI math is too centralized, with AI companies, big data centers and employees using secret models. He said he thinks the more attractive model is putting these tools in the hands of users so they can make their own discoveries and inventions.

Tenev explained tokenization as an idea similar to stablecoins. Real assets such as dollars or Treasuries are placed in a wrapper, and tokens are minted and burned against that box, while the underlying assets stay with a traditional custodian such as a bank. The tokens can then trade freely on DeFi, move anywhere in the world, be traded in fractional amounts, and be swapped across protocols or lending pools.

He said the concept can extend to any real-world asset, including stocks, private company shares through an SPV structure, art, collectibles and real estate. Robinhood first launched stock tokens last year at an event in the south of France. Those European tokens were not fully DeFi enabled, so Europeans could trade them in the app but could not send them out on Ethereum or use them in pools. The company later relaunched stock tokens with full DeFi features on Robinhood Chain.

Tenev described the goal of Robinhood Chain as a way to reach people in countries without highly functioning capital markets or financial systems, such as parts of South America and Africa. He said anyone with a smartphone and a non-custodial wallet can now get exposure to US markets at very low cost.

He compared this to stablecoins, which he said became the default way for people in these countries to access dollars. He argued that stock tokens and similar products could become the default way to access US equities, and said the vision is to put everything that works on Robinhood onto the chain for people in these countries.

When asked about compositions that could be built on stock tokens, Tenev said he was thinking about derivatives such as options, and asked how smart-contract-native options could be created. He said traditional markets have innovated but that moving off legacy mainframes is hard, and that many counterparties rely on a predictable, slow-moving system.

He said his approach is to provide the primitives and let developers combine them, and that he would not have predicted that stock-token-linked NFTs or stock-token meme pairs would become a thing or how quickly they would grow.

Tenev said prediction markets tie into ownership because people with unique knowledge can monetize it. In the past, a person who believed a company would beat earnings could still lose if the stock fell for unrelated reasons. He said KPI contracts now let people trade the EPS print, the revenue print or other KPIs that matter to a company, which allows people to monetize their belief and hedge more precisely.

He gave a California billionaire tax contract as an example of a potential hedging instrument, adding that he does not hedge with it himself. He described prediction markets as an evolution of news, where the front page, business section, culture and sports could show what is happening and likely to happen through the odds.

Asked about the impact of democratizing trading tools that institutional traders have long had, Tenev said the north star of the product is to put the capabilities of a hedge fund or a sophisticated algorithmic trading firm into the hands of normal individuals. He compared this to how software tools have made it easier for more people to become engineers.

He said Robinhood Agents and its MCP can make it easier for more people to become quant traders. He expects more trading activity overall, first concentrated among a relatively small group of sophisticated people, and then spreading to more of the population over time. He compared it to coding agents, which first helped existing coders and later let non-coders build websites.

Tenev said he does not see clear massive overhauls as necessary. He pointed out that high-frequency trading has existed for a long time and that markets went fully electronic about 20 years ago. He said most workflows already run as algorithmic trading in data centers, including those in New Jersey, rather than on paper tickets or in trading pits.

He said he does not think anything fundamental has to change in regulation, but that as activity grows, special cases may require more regulatory clarity. He also said Robinhood has built much of its sandboxing and harness infrastructure in-house.

Tenev said the AI revolution is not broadly owned because the major innovative AI companies are private, with some exceptions such as Nvidia and Google, which were already large before the latest phase of AI. He said an individual investor who wanted exposure to OpenAI or Anthropic a couple of years ago was basically out of luck.

He said private markets now let successful high-growth companies raise money at massive scale. He contrasted this with the 1980s and 1990s, when companies such as Microsoft and Amazon went public at valuations in the hundreds of millions, so IPO buyers could earn returns of up to 1,000x. He said an AI lab going public at one or two trillion would make such returns almost impossible for an individual buying at IPO.

Tenev said tokenization of private companies solves the access problem in a different way, but currently works only outside the US. His north star is to make a private company tradable in real time, 24/7, in fractional quantities, just as a stock or crypto asset can be traded. He said someone should be able to trade Anthropic around the clock in small dollar amounts with ownership quality at least as good as an LP interest in an SPV.

He said this requires changes to US accredited investor rules, among other things. He mentioned a recent SEC initiative, announced the previous week, directing FINRA to create an accreditation exam, which he described as a knowledge-based two-hour test at a testing facility that could allow individuals to qualify. He called it a positive step.

Tenev said Robinhood was selected as the sole initial trustee and broker for Trump accounts and is working with BNY, Treasury and the IRS to run the program. The idea is to give every child a stake in the US economy from birth through a low-cost, diversified S&P 500 ETF. Every child born in January 2025 or later for the next three years receives $1,000 seeded by Treasury.

He said Michael and Susan Dell's foundation added over $6 billion for children in lower-income zip codes, and that others, including Gwynne Shotwell, have committed donations, with Gwynne's donation in SpaceX shares. He said Brad Gerstner is the architect of the program. Tenev said the goal is to raise household stock ownership from 65% to 95%.