FT: Prediction Markets Are Stacked Against Individual Bettors as Insiders Tilt the Odds

The Quick Take

• The FT warns that prediction markets structurally disadvantage individual participants due to information asymmetry and insider tilting.
• Insiders with access to non-public information can systematically beat prediction market odds, undermining their reputation for accuracy.
• The growing institutional use of prediction markets for financial and political forecasting warrants scrutiny of market integrity safeguards.

Synthesized from 1 source — full coverage, sentiment breakdown, and forward signals below.

The Financial Times has published a critical analysis of prediction markets, arguing that the odds are systematically stacked against individual participants who lack the information access and scale that institutional or insider participants possess. The piece raises structural integrity concerns: prediction markets are often promoted as aggregators of distributed knowledge, but if insiders with non-public information — whether political, corporate, or macro — can systematically exploit those markets, the 'wisdom of crowds' premise breaks down. This is particularly relevant as prediction markets like Polymarket, Manifold, and Kalshi gain institutional attention as forecasting tools.

The market implications are nuanced. For retail participants treating prediction markets as an investment vehicle, the FT's analysis suggests returns are likely to be systematically below implied probabilities once market-maker spreads and insider informational advantages are accounted for. For institutional users of prediction market data as forecasting inputs — hedge funds, policy analysts, central banks — the insider-tilting critique means prediction market signals should be treated with more skepticism than their apparent consensus implies. The growth of regulated prediction markets also raises questions for securities regulators about the boundary between forecasting and insider trading.

Forward signals to watch include regulatory announcements from the CFTC or SEC regarding prediction market oversight, particularly around information asymmetry and insider trading enforcement. The macro variable is prediction market adoption by institutional allocators: if hedge funds and macro traders increasingly use prediction market prices as inputs to real-money positions, the feedback loop between prediction markets and actual financial markets becomes a systemic concern, making regulatory clarity an important near-term catalyst for the sector's institutional credibility.