What Decentralized Prediction Markets Don’t Tell You

Decentralized prediction markets transcend mere online betting platforms. A prediction market is an engineered mechanism designed to aggregate participants' beliefs and fragmented data into the singular format of price, driven by pecuniary incentives. The early blockchain community conceptualized this infrastructure as a censorship-resistant and permissionless "information infrastructure." Robin Hanson’s paradigm of Futarchy and Vitalik Buterin’s conceptualization of Info Finance (Info-Fi) are both anchored upon this intellectual trajectory. The information aggregation functionality of prediction markets has recently converged with the crisis of information reliability in the era of Artificial Intelligence (AI). As AI systems become more deeply embedded within societal decision-making matrices and informational interpretations, the imperative for mechanisms that evaluate which predictions and source data are authentically trustworthy becomes increasingly paramount. In this context, initiatives such as the University of Chicago SIGMA Lab’s Prophet Arena, Arcada Labs and Harvard University researchers’ Prediction Arena, and Foresight Arena—which evaluates AI predictive agents within an on-chain ecosystem—can be conceptualized as pioneering attempts to leverage prediction market mechanics to benchmark the predictive prowess and cognitive information-appraisal capabilities of AI models. Nevertheless, despite this quantitative expansion, rigorous deliberations regarding the structural vulnerabilities inherent in decentralized prediction markets remain profoundly insufficient. This report evaluates these challenges across three distinct dimensions. First, the structural fragilities embedded within the definition of events and the final oracle resolution of outcomes. Second, the systematic bias wherein market-clearing prices diverge from empirical probabilities. Third, regulatory ambiguity; statutory classifications regarding whether prediction markets constitute financial derivatives, gambling architectures, or an entirely novel classification of information markets diverge drastically across respective jurisdictions. Notwithstanding these systemic vulnerabilities, prediction markets are highly projected to perform an increasingly critical role in future societal decision-making frameworks and overarching information aggregation pipelines. As prediction market pricing becomes more widely integrated as a reference metric for collective societal judgments, the underlying market architectures and resolution mechanisms generating those prices will be bound to heightened standards of trust and institutional accountability. We anticipate this report to serve as a earnest endeavor to evaluate both the latent potentials and systemic perils of decentralized prediction markets, establishing a foundational starting point for more precise and responsible management of predictive metadata utilized across diverse sectors of society.