Uncapped with Jack Altman

Robinhood’s Vlad Tenev on AI, Prediction Markets, and the Future of Trading | Ep. 33

Vlad Tenev is the co-founder and CEO of Robinhood (NASDAQ: HOOD), which transformed financial services by introducing commission-free stock trading and democratizing access to the markets for millions of investors. As of Q3 2025, the company is doing $1.27 billion in revenue with 11 business lines each doing roughly $100 million. We discuss the evolution of online brokerage platforms from Schwab to E-Trade to now Robinhood. Vlad delves into the launch of Robinhood, the impact of the global financial crisis, and how mobile and high-frequency trading have transformed finance. The conversation explores the rise and success of prediction markets, the importance of engaging younger generations, and how AI is enhancing the future of trading. Timestamps: (0:00) Intro (00:27) History of online brokers (4:15) The rise of Robinhood (9:15) Changing sentiment among generations (14:18) Incentive alignment with customers (18:47) The emergence of prediction markets (25:50) Economic value vs entertainment (28:26) Growing degree of risk taking (35:21) Tokenization and private markets (39:33) The impact of AI on Robinhood (43:35) What excites Vlad about AI (46:59) Reflections on being a founder More on Vlad: https://robinhood.com/us/en/ https://x.com/vladtenev More on Jack: https://www.altcap.com/ https://x.com/jaltma https://linktr.ee/uncappedpod Email: friends@uncappedpod.com

Vlad TenevguestJack Altmanhost

Nov 19, 202550mWatch on YouTube ↗

WHAT IT’S REALLY ABOUT

Vlad Tenev on democratizing finance with AI and prediction markets

Tenev frames online brokerage as a decades-long democratization story driven by deregulation, new interfaces (phone → internet → mobile), and infrastructure that lowers costs to near-zero.
He argues Robinhood has shifted from a “trading app” to a multi-product financial “super app,” aligning incentives around growing customer assets over time and expanding into banking, retirement, advice, and active trading tools.
Prediction markets, in his view, broke out due to U.S. regulatory changes around election contracts and now expand rapidly into sports and other event-based forecasting—functioning both as entertainment and as an information/forecasting layer.
On the horizon, he highlights tokenization as a path to broader access to private-market value creation and sees AI boosting customer support, engineering velocity, marketing output, and enabling “vibe trading”—natural-language-driven analysis and increasingly automated financial tasks.

IDEAS WORTH REMEMBERING

5 ideas

Brokerage disruption historically comes from removing friction and cost.

Tenev traces a line from Mayday commission deregulation enabling Schwab’s low-cost phone model, to E-Trade bringing trading online, to Robinhood pushing commissions to zero via mobile-first design and institutional-grade infrastructure.

Robinhood’s strategy is shifting from trading to “financial home.”

He emphasizes building a financial super app (banking/direct deposit, credit card, Gold subscription, retirement, advice) so Robinhood becomes a primary account and assets stay on-platform.

“Passive vs active” isn’t a lifecycle—people keep multiple money buckets.

Rather than graduating from stock picking to ETFs, users typically allocate across buckets (retirement/passive plus a smaller active sleeve). Robinhood’s move to multiple account types is meant to match that mental accounting.

Prediction markets took off because U.S. election markets became viable at scale.

He credits a last-minute regulatory/legal opening before the presidential election as the “big bang,” letting federally regulated election contracts launch—then the same economic-value argument extends to sports and other event markets.

Prediction markets are positioned as both entertainment and an information product.

Tenev argues markets with “skin in the game” produce a price (not a poll), which can be highly accurate and useful for forecasting—while acknowledging the speculation/gambling critique has followed every tradable asset class.

WORDS WORTH SAVING

5 quotes

“Prediction markets… a way to think about them is they’re truth machines.”

— Vlad Tenev

“We don’t really think of ourselves as a trading app anymore… [we’re] a financial super app.”

— Vlad Tenev

“We want our customers to do well. We don’t want them to send their accounts to zero.”

— Vlad Tenev

“We call it… vibe trading.”

— Vlad Tenev

“At the fundamental level [tokenization is] basically the same idea as what stablecoins are… you mint and burn tokens against that.”

— Vlad Tenev

History of online brokers and commission deregulationRobinhood’s three core innovations: mobile, HFT-grade infrastructure, post-GFC brand resonanceGenerational shifts in trust, “cool” incumbents, and early retirement focusIncentive alignment: AUC growth, multiple account “mental buckets,” super-app strategyPrediction markets: elections → sports → broader contracts; “truth machine” framingTokenization mechanics for private assets (mint/burn, ETF/ADR analogies)AI at Robinhood: support deflection, coding throughput, creative generation, autonomous agents

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