Financial personality Vivian Tu warns against platforms marketing "prediction markets" as an investment class. She clarifies they are simply a modern form of gambling on outcomes, akin to sports betting, and will likely deplete wealth rather than build it.

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The explosive growth of prediction markets is driven by regulatory arbitrage. They capture immense value from the highly-regulated sports betting industry by operating under different, less restrictive rules for 'prediction markets,' despite significant product overlap.

New platforms frame betting on future events as sophisticated 'trading,' akin to stock markets. This rebranding as 'prediction markets' helps them bypass traditional gambling regulations and attract users who might otherwise shun betting, positioning it as an intellectual or financial activity rather than a game of chance.

The popularity of prediction markets, meme stocks, and crypto is driven by a powerful cultural narrative among young people. They believe traditional wealth-building is unattainable and that making highly asymmetric bets ('put the money on black') is the only viable strategy to get ahead.

Prediction markets are cannibalizing the traditional gaming industry by framing gambling as an intellectual activity. This creates a more compelling 'product' that is already impacting gaming stocks and tourism, while introducing severe societal harms like addiction and new forms of insider trading.

A more significant danger than insider trading is that individuals in power could actively manipulate real-world outcomes to ensure their bets on a prediction market pay out. This moves beyond leveraging information to actively corrupting decision-making for financial gain, akin to throwing a game in sports.

While often promoted as tools for information discovery, the primary business opportunity for prediction markets is cannibalizing the massive sports betting industry. The high-volume, high-engagement nature of sports gambling is the engine to acquire customers and professional market makers, with other "informational" markets being a secondary concern.

Prediction markets are accelerating their normalization by integrating directly into established ecosystems. Partnerships with Google, Robinhood, and the NYSE's owner embed gambling-like activities into everyday financial and informational tools, lowering barriers to entry and lending them legitimacy.

While gaining traction, prediction markets are on a collision course with regulators. Their expansion into domains resembling sports betting is unsustainable without government oversight and revenue sharing. The current "lawless" phase, where they claim not to be gambling, is unlikely to last, leading to a stalled 2026.

While praised for aggregating the 'wisdom of crowds,' prediction markets create massive, unregulated opportunities for insider trading. Foreign entities are also using these platforms to place large bets, potentially to manipulate public perception and influence political outcomes.

Cliff Asness argues that modern trading apps have "gamified" investing to the point where users treat it like sports betting. They adopt flawed strategies like the Martingale system, which guarantees ruin without an infinite bankroll, confusing speculation with a viable investment process.