Robinhood’s CEO on letting AI trade your money

Summary

Robinhood co-founder and CEO Vlad Tenev discussed AI agents executing trades, Robinhood’s expansion into private-market investing and tokenization, and the macroeconomic and regulatory context for those businesses.

AI agents and trading

• Robinhood’s stated goal is to give retail investors tools similar to those used by hedge funds and algorithmic trading firms. Tenev said AI agents could eventually generate a significant share of trading activity because they can operate around the clock and handle multiple asset classes. He expects most investor assets to remain invested for the long term.
• Robinhood says more than 100,000 customers have joined its agent-trading offering, with strong customer growth and retention. Tenev said setup takes about 60 seconds. The interview provided no figures on agent performance or returns.
• Trading began in a separate, funded account, initially limited to cash-settled stock trades without leverage. Robinhood later added options, cryptocurrency, and limited margin. Tenev said the company may consider connecting agents to users’ primary accounts, but a separate account will likely remain the default for now.
• Safeguards and controls described:
  • Customers must deliberately transfer money into the agent account.
  • Trade approval is required by default, though customers can choose autonomous trading.
  • Customers choose an AI model and can manage the agent in the Robinhood app.
• Tenev described options strategies such as an iron condor as an early use case. He said agents can translate goals—such as limiting downside while retaining upside potential—into options strategies, while noting that options remain complex.
• Robinhood aims to add more data, tools, asset classes, third-party agent apps, and improvements to execution speed and latency. Tenev noted that high-frequency firms benefit from physical proximity to exchanges and matching engines, a setup Robinhood does not currently offer. He gave no timeline for potentially democratizing this infrastructure.
• Robinhood’s broader product range includes futures, prediction markets, perpetual futures, DeFi, banking, retirement, and advisory services. Tenev described making more of these capabilities available to agents as a longer-term goal.
• On competitive advantage, Tenev argued that investors will need differentiated strategies, data, or tools; giving everyone access to similar AI does not itself create an edge. Robinhood is not currently fine-tuning its customer-facing models, though it has trained specialized models internally. Tenev said the product could look very different in 6–12 months.

Investing, products, and company strategy

• Tenev said most of Robinhood’s business is expected to remain tied to transactions and assets. Robinhood Gold subscriptions are increasingly important and generate “hundreds of millions” of dollars in annual revenue.
• Robinhood is expanding access to private companies through Robinhood Ventures funds:
  • Fund I focuses on later-stage companies, with OpenAI, Databricks, Revolut, and Crusoe mentioned as examples. Tenev said it has little intermediation and no carried interest.
  • Fund II targets seed and Series A companies. Tenev said 80 companies were added to its portfolio when it went public.
  • Tenev cited a PitchBook study that found seed investing had the highest total return among asset classes despite a higher company-failure rate. He emphasized the high risk and potential upside, and said diversification across a broad basket can reduce the impact of individual failures.
• Robinhood announced Aura as its first IPO underwriting engagement. Tenev said Robinhood sees a potential advantage in retail distribution and data on investor demand at different IPO prices. He said the company does not have the same advantage as large banks in attracting major institutional or sovereign wealth fund investors.
• Tenev described broader Robinhood initiatives—including agent trading, private-market funds, tokenization, and “Trump accounts”—as efforts to expand individual ownership of financial assets.

Tokenization and prediction markets

• Tenev said Robinhood’s tokenized stock products are intended to give international customers easier access to U.S. equities, including fractional ownership and 24/7 trading. He said the products operate in more than 120 countries and could bring in buyers who otherwise lack convenient access to U.S. stocks.
• Companies and assets mentioned: SpaceX, Nvidia, OpenAI, and AMC. The transcript refers to “AMCC” once, apparently as a subtitle error; AMC is the company discussed in connection with opposition to tokenization.
• Tenev said Robinhood plans to add share-voting capability for tokenized equities. He acknowledged issuer concerns and said Robinhood is working with stakeholders. He also suggested tokenization could eventually extend to private assets, real estate, and wine.
• Robinhood’s Robinhood Chain was described as a blockchain optimized for real-world assets. Tenev said it attracted developer activity and DEX trading after launch.
• Tenev was bullish on prediction markets, citing Kalshi and Polymarket as competitors and mentioning markets on Fed decisions, sports, elections, and the World Cup. He expects the category to develop into a more established tradable asset class.

Macroeconomic context and risk

• The interviewer cited a recent Fed rate increase—the first in three years—and a 10-year Treasury yield near 5%, alongside persistent inflation concerns and upcoming IPOs and midterm elections.
• Tenev said inflation remained elevated but expressed more optimism than pessimism about the U.S. economy, pointing to its economic strength and continued AI innovation. He compared current conditions with inflation in Bulgaria, where he said inflation was 180% in 1991 and about 1,000% in 1997.
• He suggested AI could have deflationary effects, including through automation and robotics, while also spurring investment in U.S. data centers and energy infrastructure.
• Cautions: Options and early-stage private-company investing carry substantial risk. Tenev’s discussion of potential returns for seed investing was based on a study he cited, not a forecast or guarantee. The interview provided no evidence of AI-agent trading performance and did not recommend using autonomous trading.

Disclosures

• No explicit “not financial advice” disclaimer appeared in the subtitles.
• The program included paid sponsor messages. Mercury disclosed that it is a fintech company, not a bank, and that banking services are provided through partner institutions. Sponsor messages also referenced promotional terms and restrictions.

Assets, instruments, and sectors mentioned

• Stocks and equities: U.S. stocks, fractional and tokenized equities, AMC, Nvidia, and companies including OpenAI and SpaceX.
• Other investments and instruments: Options (including iron condors), limited margin, cryptocurrency, Bitcoin, stablecoins, futures, perpetual futures, 10-year Treasuries, private-company and venture funds, DeFi, and prediction-market contracts.
• Sectors and themes: AI, high-frequency and algorithmic trading, venture capital, data centers, energy, and robotics.
• Explicit ticker: AMC. No other ticker symbols were stated in the subtitles.

Presenters and sources

• Presenters: Alex Heath (interviewer) and Vlad Tenev (Robinhood co-founder and CEO).
• Sources cited in the discussion: Robinhood and its Robinhood Ventures funds; a PitchBook study on seed investing.
• Program source: Sources podcast.