The post From Wisdom of Crowds to Manipulation Risks appeared on BitcoinEthereumNews.com. Prediction markets are rising strongly, from the hundreds of millions of dollars raised by Kalshi and Polymarket to their growing applications across crypto and traditional finance.  Considered a new asset class, prediction markets promise to change how people consume information — instead of reading headlines, they will look at odds to assess probabilities. Behind this enormous potential, however, lie the risks of regulation, manipulation, and herd behavior, forcing investors to remain cautious in the face of this “data wave.” When Prediction Markets Become “An Asset Class” Prediction markets are emerging as forecasting tools and a new asset class within the crypto ecosystem. Platforms and venture funds are beginning to bet on commoditizing information and probabilities. Sponsored Sponsored This has triggered a “prediction market war,” with massive fundraising rounds, backing from top venture capital firms, and expansion into new use cases — all fueling competition. It shows how the market is shifting from “news” to “odds” as a source of value. Comparison between Polymarket & Kalshi platforms. Source: Delphi Digital Investors increasingly view prediction markets as a strategic asset class, not just entertainment or research products. While this competition accelerates innovation, it also introduces systemic risks if the business models are not yet sustainable. Many community members call this the “next big wave” of the current cycle. They argue that the next generation of users won’t read headlines anymore but will “check the odds.” In theory, prediction markets work well because they aggregate scattered information from many participants and turn it into a number representing collective wisdom — sometimes even more accurate than expert forecasts. This explains why protocols and projects focused on prediction highlight the “wisdom of crowds” advantage in pricing event probabilities. On the other hand, this advantage only materializes when the market has enough liquidity, transparency, and protection… The post From Wisdom of Crowds to Manipulation Risks appeared on BitcoinEthereumNews.com. Prediction markets are rising strongly, from the hundreds of millions of dollars raised by Kalshi and Polymarket to their growing applications across crypto and traditional finance.  Considered a new asset class, prediction markets promise to change how people consume information — instead of reading headlines, they will look at odds to assess probabilities. Behind this enormous potential, however, lie the risks of regulation, manipulation, and herd behavior, forcing investors to remain cautious in the face of this “data wave.” When Prediction Markets Become “An Asset Class” Prediction markets are emerging as forecasting tools and a new asset class within the crypto ecosystem. Platforms and venture funds are beginning to bet on commoditizing information and probabilities. Sponsored Sponsored This has triggered a “prediction market war,” with massive fundraising rounds, backing from top venture capital firms, and expansion into new use cases — all fueling competition. It shows how the market is shifting from “news” to “odds” as a source of value. Comparison between Polymarket & Kalshi platforms. Source: Delphi Digital Investors increasingly view prediction markets as a strategic asset class, not just entertainment or research products. While this competition accelerates innovation, it also introduces systemic risks if the business models are not yet sustainable. Many community members call this the “next big wave” of the current cycle. They argue that the next generation of users won’t read headlines anymore but will “check the odds.” In theory, prediction markets work well because they aggregate scattered information from many participants and turn it into a number representing collective wisdom — sometimes even more accurate than expert forecasts. This explains why protocols and projects focused on prediction highlight the “wisdom of crowds” advantage in pricing event probabilities. On the other hand, this advantage only materializes when the market has enough liquidity, transparency, and protection…