Recently, I've been keeping a close eye on the Prediction Market + AI Agent space. Seeing @fortuneglobal_ complete its Pre-A funding round, I’m actually more interested in the direction behind it rather than just the funding itself. A lot of people think of Prediction Markets as simply 'betting on future events,' but I believe their real value lies in price discovery. At its core, a prediction market continuously aggregates information, opinions, and capital from users around the world, allowing the market itself to form a consensus on the probability of future events. And often, these market-driven probabilities are more insightful than the judgment of any single institution or individual. That said, Prediction Markets have historically faced a few notable challenges: • Liquidity is fragmented, with platforms operating in silos; • It’s hard for regular users to identify truly worthwhile opportunities among a sea of markets; • While information is increasing, decision-making efficiency is decreasing. This is why I’ve started to believe that AI Agents could represent the next phase for Prediction Markets. AI isn’t just for chatting—it excels at processing massive amounts of data, summarizing information, uncovering alpha, and even generating trading strategies based on dynamic market conditions. What I find particularly interesting about Fortune’s approach is that they’re not positioning themselves as just another prediction market. Instead, they aim to become a Prediction Market Liquidity Layer. They’re working to aggregate liquidity across different prediction markets, providing users with a unified trading interface. On top of that, they’re leveraging the Fortune Agent to handle market analysis, identify opportunities, and assist with strategy execution. The core idea here isn’t to create more markets but to lower the barriers for users to participate in prediction markets while improving liquidity efficiency. This Pre-A round, backed by MH Ventures, Mapleblock Capital, NewTribe Capital, Basics Capital, and Everwood Capital, shows that investors are likely betting not just on a product but on the broader direction of AI + Prediction Market + Liquidity Infrastructure. According to official data, the Fortune ecosystem has already reached a cumulative trading volume of 13.3M USDT, which indicates that this direction is gaining real user validation and is no longer just a concept. I’ve always believed that the greatest value of AI in Web3 isn’t necessarily replacing traders but helping everyday users reduce the cost of processing information. The real competition won’t be about who has more data but about who can transform that data into better decisions. Prediction Markets provide market consensus, AI Agents offer analytical capabilities, and liquidity infrastructure determines whether capital can flow efficiently. If these three elements can truly be integrated, I think this will unlock far more potential than simply building another Prediction Market platform.