Google Integrates Blockchain Prediction Markets into Finance Tools via AI-Driven Deep Search

Google has launched a new feature integrating real-time prediction market data into its finance products, marking a significant shift in how users access crowd-driven forecasts for economic and political events. The update, announced on November 6, 2025, enables users to query live probabilities from platforms like Kalshi and Polymarket through Google Finance and Google Search. This functionality aims to democratize access to data previously confined to niche platforms, offering a broader audience insights into market sentiment, according to a Benzinga report a Benzinga report.

Integration of Prediction Market Data

The integration leverages data from two distinct sources: Kalshi, a U.S. Commodity Futures Trading Commission (CFTC)-regulated exchange, and Polymarket, a decentralized prediction market platform. By combining these, Google provides a balanced view of crowd-based expectations.

Users can now ask questions such as “Will the Fed cut rates in December?” or “What is the expected GDP growth for 2025?” and receive live probability estimates alongside traditional financial data, as reported by CoinMarketCap CoinMarketCap. This feature is available to Labs users and will expand to a wider audience in the coming weeks, according to CryptoBriefing CryptoBriefing.

Deep Search Functionality

A key component of this update is the introduction of Deep Search, an AI-driven tool powered by Google’s . This feature allows users to perform advanced queries by analyzing hundreds of data points simultaneously. For instance, when inquiring about corporate earnings or macroeconomic trends, the system generates thoroughly cited responses, enabling users to trace the research methodology and ask follow-up questions. Deep Search is initially available to Google AI Pro and AI Ultra subscribers, with higher query limits, and requires activation through the Labs interface, according to Live Bitcoin News Live Bitcoin News.

Implications for Financial Markets

The integration of prediction market data into mainstream tools like Google Finance and Search represents a paradigm shift in financial research. By bringing crowd-sourced probabilities into the public domain, Google is challenging traditional financial data providers and empowering retail investors with insights previously accessible only to institutional clients. This move also aligns with the growing role of AI in financial analysis, where machine learning models process diverse data sources to generate actionable insights, according to the Economic Times the Economic Times.

Expansion and Technical Enhancements

The platform’s upgrades extend beyond prediction markets. Google Finance now includes enhanced corporate earnings tracking, sophisticated charting tools, and real-time news updates. The service is also expanding to India, marking its first international rollout outside the U.S. These technical advancements underscore Google’s strategy to position its finance tools as a one-stop solution for both casual users and advanced researchers.