Google Integrates Real-Time US-China Financial Prediction Markets with Kalshi and Polymarket via AI

Google is set to revolutionize financial data access by integrating real-time prediction market data into its finance and search platforms. The update, announced on November 6, 2025, will provide users with crowd-sourced forecasts on key economic and political events through partnerships with platforms Kalshi and Polymarket, according to a Benzinga report. This move aims to democratize access to market sentiment insights, traditionally reserved for professional-grade terminals, by embedding them directly into Google Finance and Google Search for Labs users, according to a CoinMarketCap article. The integration will allow users to query live probabilities on topics such as Federal Reserve rate cuts or GDP growth projections, enhancing the utility of AI-driven financial tools, as CryptoBriefing reports.

Integration of Real-Time Prediction Market Data

The integration leverages data from two distinct platforms: Kalshi, a U.S. -regulated exchange, and , a . This dual-source approach ensures a balanced representation of market sentiment, combining institutional-grade data with crowdsourced insights, the the Economic Times reports. Users will be able to type natural language questions—such as "What is the expected GDP growth for 2025?"—and receive live probability updates alongside historical trends, according to a LiveBitcoinNews report. . The feature is part of Google’s broader effort to simplify financial research, particularly for retail investors who previously relied on fragmented data sources .

Deep Search and Crowdsourced Data Enhance Financial Research

The new AI-based Google Finance platform introduces "Deep Search," a functionality powered by Google Gemini models. This tool enables users to ask complex financial questions and receive comprehensive, cited responses generated by running hundreds of simultaneous searches . For example, users can request detailed analyses of or economic indicators, with the system providing structured research plans and the ability to ask follow-up questions . The feature will initially be available to and AI Ultra subscribers, with higher search limits, before a broader rollout .

Brings Forecasts to the Mainstream

By incorporating into its ecosystem, Google is positioning itself as a key player in the space. The partnership with Polymarket and Kalshi marks a significant shift in how retail investors access predictive analytics, reducing reliance on traditional financial data providers . The integration also aligns with Google’s expansion strategy, including its launch of Google Finance in India, its first international market . Analysts predict this move could disrupt existing financial data models by making crowd-based probabilities a standard part of investment decision-making .

Strategic Implications for AI and Financial Markets

The update underscores Google’s commitment to leveraging AI for . By combining real-time prediction data with advanced technical analysis tools, the platform aims to bridge the gap between casual users and sophisticated market participants . The ability to track corporate earnings more effectively further enhances the platform’s appeal to investors seeking actionable insights . As the feature rolls out to a wider audience, its impact on and market accessibility could redefine how users interact with economic forecasts .