Companies use it for product launches, and media use it as crowd wisdom. Essentially, it’s about packaging future uncertainties into price signals. If the infrastructure and verification mechanisms can operate smoothly, this indeed represents the prototype of the next-generation information infrastructure.

a16z Crypto analyzes the unique value and challenges of prediction markets. Prediction markets facilitate trading on event outcomes and aggregate information through price signals, providing real-time probability estimates of events, and improve prediction accuracy through capital incentives. Companies use them for product launches and scientific forecasts, and media also see them as sources of crowd wisdom, covering topics from geopolitics to AI model performance. Their core lies in providing independent event probability estimates, rather than relying solely on asset price signals. Major challenges include infrastructure, event verification, settlement, information sufficiency, and potential manipulation. If these issues are addressed, prediction markets could become important tools for decision-making and information aggregation, expanding insights into future events in finance and society.